Apply for an ASA-AAAS Mass Media Fellowship

Students, are you interested in journalism? Do you want an invaluable experience that also advances a statistical perspective in journalism? If so, apply for the ASA-AAAS Mass Media Fellowship and spend 10 weeks with a media outlet next summer. Applications will be accepted until January 1.

Led by AAAS and supported by many organizations, the fellowship is designed to “enhance coverage of science-related issues in the media in order to improve public understanding and appreciation of science and technology.” The program has supported more than 700 fellows in its more than 40-year history.

The AAAS eligibility requirements include being an upper-level undergraduate or graduate student or postdoctoral trainee in a STEM field and a US citizen or holder of a visa allowing paid work in the United States. To be the ASA-sponsored AAAS Mass Media Fellow, you must have had substantial statistical training with a preference—but not a requirement—for having or seeking a degree in statistics.

Read Diana Cai’s experience as she reported from STATS–a Boston-based health and medicine news outlet as last year’s ASA-AAAS Mass Media Fellowship awardee.

Faculty Nominations Wanted for Mu Sigma Rho

Mu Sigma Rho invites academic institutions to nominate outstanding teaching faculty for the 2020 Mu Sigma Rho William D. Warde Statistics Education Award. The nominee must have evidence of excellence in classroom teaching in the statistics discipline and evidence of a lifetime devotion to statistics education.

Each academic institution is allowed one nomination per year. In the event that more than one nomination is received from a single institution in a year, only the first will be considered. Any college or institution may nominate a potential recipient, regardless of whether the institution has an active Mu Sigma Rho chapter.

Each nomination should include the following:

  • Cover letter
  • Nominee’s curriculum vitae
  • Summary of the nominee’s teaching and educational activities
  • Draft of a citation briefly describing the nominee’s accomplishments
  • At least three, but no more than six, letters supporting the nomination (at least two of these letters should come from present or former students and at least one should come from a colleague)

If a nominee is not selected for the award, the nomination will remain active for three years after the initial submission, unless the institution chooses to put forward another nominee.

Nominations should be sent to Lisa Kay by February 15, 2020. Include all nomination material in a single PDF document.

The recipient of the award will be notified on or before March 15, 2020, and be presented a plaque at JSM 2020 in Philadelphia, Pennsylvania, August 1–6, 2020. Questions regarding this award should be emailed to Kay.

2020 Internship Listings

The following companies are looking for 2020 interns. From this list, you will see there is something for everyone—from positions at pharmaceutical companies to a summer spent studying at media organizations nationwide. If you are interested in improving your programming techniques, making connections, or honing your data analysis skills, apply for one of these opportunities.

If your organization would like to include an internship opportunity on our website, complete the form. Interested students will send a letter of inquiry and résumé directly to the contact and location you list.

AbbVie, Inc.

North Chicago, Illinois
Number of Positions: Multiple
Type of Student: PhD candidates in statistics or biostatistics
Deadline: January 31, 2020

At Data and Statistical Sciences, we revolutionize the drug development landscape through strategic leadership and operational excellence. We are pioneers in generating and leveraging scientific evidence to provide new treatments that make a remarkable difference for our patients. Statistical sciences provide statistics support for all phases of clinical development and global medical affairs.

In this 10–12-week summer program, interns will work on statistical research topics related to the pharmaceutical industry. Potential statistical topics include deep learning, historical data borrowing, missing data imputation, and survival analysis. Interns will present project/assignment results and learnings to department management and the broader team at the conclusion of the internship.


  • Be enrolled in a graduate-level curriculum leading to a PhD in statistics or biostatistics
  • Have completed at least two full years of graduate study prior to the start of the internship
  • Have an accumulated GPA of ≥ 3.0
  • Be in good academic standing within your graduate program and overall at your university
  • Have a track record of accomplishment
  • Be authorized to work in the US
  • Continue to be enrolled in graduate school for at least one semester following the internship

Our science intern positions are posted (requisition #1906923). Apply for the position.


Thousand Oaks, California
Number of Positions: 3
Type of Student: Graduate, pursuing a PhD in biostatistics, statistics, mathematics
Deadline: January 31, 2020

Amgen’s 10–12-week internship program offers meaningful project experiences that affect patients’ lives. This internship provides the opportunity for executive and social networking events and participation in community volunteer projects while providing competitive compensation. A transportation allowance will be provided for eligible candidates.

This position within the Center for Design and Analysis (CfDA) will work closely with a senior-level statistician or data scientist on topics related to the design and analysis of clinical trials and/or nonclinical research. Amgen research and development uses science and innovation to dramatically improve people’s lives in various therapeutic areas, including oncology, nephrology, bone metabolism, cardiovascular, and inflammation.

At the conclusion of the internship, this position will give a presentation summarizing the work completed during the program.


Amgen requires all individuals applying for a graduate internship or co-op assignment to meet the following criteria:

  • 18 years or older
  • Graduated with a bachelor’s degree from an accredited college or university with a 3.0 minimum GPA or equivalent
  • Completed first year as a graduate student before internship starts and currently enrolled in an MBA program for an MBA internship OR a master’s program for a master’s internship OR a PharmD program for a PharmD internship OR PhD for a PhD internship from an accredited college or university
  • Enrolled in an accredited college or university following the potential internship or co-op assignment
  • Must not be employed at the time the internship starts

Preferred Qualifications

  • Pursuing a PhD in biostatistics, statistics, or mathematics
  • In at least the third year of current program
  • Proficiency in SAS or R on either a UNIX or NT platform

Amgen is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

Only candidates who apply via our career page will be considered. Please search for Keyword 85845.

Contact: Natalie Mirzaian/Christine Parada.

Astellas Pharma, Inc.

Northbrook, Illinois
Number of Positions: 2
Type of Student: PhD candidate in statistics or related disciplines
Deadline: January 31, 2020

Full-time internships are available in the summer for 10–12 weeks. Successful candidates will work closely with a senior-level statistician on topics related to the design and analysis of clinical trials and statistical research.

The project will be a hands-on learning experience involving both statistical and related data review and data analysis programming tasks. The programming tasks will involve use of SAS, R, and/or other statistical software on the UNIX platform or PC.

To be considered, applicants must have completed at least two years of graduate-level course work and be working on their dissertation toward a PhD in statistics or biostatistics. The applicant must be legally authorized to work in the United States. In addition, applicants should have a good working knowledge of R, S-Plus, or SAS and good communication skills.

Please send CV, cover letter, and a letter of recommendation.



Columbus, Ohio
Number of Positions: 4
Type of Student: Bachelor’s and master’s
Deadline: December 23, 2019

Data Science Intern

Contact: Juli Garn, (614)-424-7537

Boehringer Ingelheim

Ridgefield, Connecticut
Number of Positions: Up to 5
Type of Student: Graduate student in fields related to statistics, biostatistics, data science, computer science, epidemiology, public health, or mathematics with good academic standing
Deadline: January 31, 2020

Boehringer Ingelheim will have multiple full-time summer biostatistics internship openings for approximately 12 weeks (May/June to August/September, dates flexible). As a biostatistics intern, you will work with a senior-level statistician on a statistical research project related to the pharmaceutical industry and clinical trials. Potential topics may include survival analysis, Bayesian methods, and dose-finding, with applications to oncology, immunology, cardiology, respiratory, or central nervous system disorders. Interns are expected to present the results of their research at the end of the program and may have the opportunity to summarize their work in a peer-reviewed publication.


  • Must be a graduate student in fields related to statistics, biostatistics, data science, computer science, epidemiology, public health, or mathematics with good academic standing (cumulative GPA must be at least 3.0 on 4.0 scale)
  • Must have completed 12 credit hours on a related major and/or other related coursework
  • MS or PhD candidate with at least two years of study


  • Good written and oral communications skills
  • Demonstrated proficiency in conducting statistical analyses using SAS or R

Apply online.

Contact: Wansuk Choi and Jianan Hui, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT 06877;  (203) 798-5180 (Wansuk Choi) or (203) 778-7804 (Jianan Hui)


Cambridge, Massachusetts
Number of Positions: 4
Type of Student: PhD
Deadline: January 15, 2020

The biostatistics department at Biogen will have internship positions available for approximately 12 weeks in the summer of 2020. The interns will work with one or multiple senior-level statisticians on research projects closely related to clinical trials or nonclinical research. They will also have the opportunity to be exposed to the drug development process. The research work will be presented at the departmental seminar and/or company poster session and may lead to an internal study report or a peer-reviewed publication.

Eligible candidates must have completed two years of graduate work and passed a doctorate qualification exam prior to the start of the internship, must return to school in fall 2020, and must be legally eligible to work in the United States. In addition, candidates should have a solid understanding of statistical inference, a strong working knowledge of SAS and/or R, good interpersonal skills, and the ability to effectively summarize and communicate research results.

Contact: Wenting Wang, 225 Binney St., Cambridge, MA 02142; (617) 914-1155

CSL Behring

King of Prussia, PA
Number of Positions: 1
Type of Student: PhD, Master’s
Deadline for Applying: December 31, 2019

CSL Behring is a global biotherapeutics leader driven by its promise to save lives. Focused on serving patients’ needs by using the latest technologies, we develop and deliver innovative therapies that are used to treat coagulation disorders, primary immune deficiencies, hereditary angioedema, inherited respiratory disease, and neurological disorders. Biostatistics Interns will gain hands-on experience in the pharmaceutical industry while assisting the CSL Behring’s Department of Biostatistics and Medical Writing with important R&D program work. The Biostatistics Intern will be involved in the following activities: 1) Perform statistical research or assist in developing statistical methodology related to drug development 2) Assist in data analysis and data exploration  Implement new statistical methods related to drug development 3) Conduct simulations to explore statistical properties of clinical study designs and analysis approaches

Qualifications: Currently enrolled in a graduate program in Statistics, Biostatistics or a closely related field and have completed at least 2 semesters of graduate work towards a Master’s degree or PhD prior to the start of the internship.

Contact: Kenya Bullock

The D. E. Shaw Group

New York
Number of Positions: 1
Type of Student: All levels
Deadline: Rolling

The goal of our summer internship program is to expose talented individuals to the projects and environment associated with full-time work in quantitative analysis and software development at the D. E. Shaw group. Interns interact with various trading groups and gain valuable work experience while demonstrating their skills on a variety of real-world projects. Working closely with quants, developers, and other senior staff as mentors, interns can expect an environment conducive to learning. In addition, numerous social events give interns the opportunity to interact with colleagues and learn about the firm as a whole.

For quantitative analyst interns, projects might include applying sophisticated numerical techniques and writing software to develop and analyze statistical models for our computerized financial trading strategies or researching financial literature to identify new trading ideas and creating simulations to test them.

Successful candidates have traditionally been the top students in their respective math, statistics, physics, engineering, computer science, and other technical and quantitative programs.

Contact: Patricia Wu, (212) 478-0000

Eli Lilly and Company

Indianapolis, Indiana
Number of Positions: Multiple
Type of Student: Candidates are enrolled in a graduate-level curriculum leading to a PhD or master’s in statistics or biostatistics. PhD students are required to have completed at least three years of graduate work by May 2020. Master’s students must have completed at least one year of graduate work by May 2020.
Deadline: January 15, 2020

The Global Statistical Sciences Division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2020. The internships start in either May or June and last 12 weeks. We will provide you with practical experience and give you the opportunity to build your understanding of the pharmaceutical industry and Eli Lilly and Company. Successful candidates will be assigned specific projects to work on under the guidance of a Lilly statistician or statistical analyst (mentor).

Preferred skills for candidates include demonstrated leadership and the ability to influence; excellent communication, teamwork, and interpersonal skills; strong problem-solving skills; strong computational skills; creativity and innovation; and self-management skills.

PhD students

Master’s students

Contact: Alexandria Pernell, Global Recruiting and Staffing

The Emmes Company, LLC

Rockville, Maryland
Number of Positions: 5–8
Type of Student: MS or PhD in biostatistics
Deadline: March 31, 2020

The Emmes Company, LLC (“Emmes”), organized in 1977, is a privately owned contract research organization (CRO) in Rockville, Maryland. Emmes is dedicated to providing statistical and epidemiological expertise, computer systems development, data management, study monitoring, regulatory guidance, and overall operational support to clients engaged in clinical and biomedical research.

A biostatistics intern will work closely with biostatisticians on biomedical research projects across a variety of disease areas. Interns meet with epidemiologists, project coordinators, and biomedical investigators and contribute to the design and analysis of clinical research projects.

Primary Responsibilities

  • Perform descriptive and inferential statistical analysis
  • Summarize results using tables and graphs for presentation to biomedical investigators or manuscript preparation
  • Edit and finalize research databases for statistical analysis

Experience, Competencies, and Education

  • Currently enrolled master’s/PhD student in statistics or biostatistics
  • Excellent analytical/problem-solving skills
  • Attention to detail
  • Ability to manage priorities effectively
  • Familiarity with SAS or R

For immediate consideration, submit your résumé and apply directly through the company website.

Applications will be accepted starting January 15 and reviewed through March 31.

Contact: Kate Salava (301) 251-1161; (301) 576-7114 (fax)

Office of Biostatistics, CDER, FDA

Silver Spring, Maryland
Number of Positions: Multiple
Type of Student: Graduate students in statistics or biostatistics; completion of doctoral prequalifying exams preferred
Deadline: March 13, 2020, with rolling offers

The Office of Biostatistics (OB) in the Center for Drug Evaluation and Research at the US Food and Drug Administration is recognized for excellence in the application and communication of statistical science in drug regulation and development. We play a central role in promoting innovative, science-based quantitative decision-making throughout the drug development life cycle. We provide statistical leadership, expertise, and advice to foster the expeditious development of safe and effective drugs and therapeutic biologics for the American people.

We anticipate having multiple internship positions available for advanced PhD graduate students in statistics or biostatistics from May 26 through August 28, 2020, to engage in research projects on topics relevant to OB scientific needs. Interns will gain hands-on experience with regulatory research projects under the guidance of an expert OB mentor, using actual data to address real problems in a stimulating, collaborative, and supportive environment.

Past research project areas have included modeling and simulation, missing data, noninferiority trials, multiple endpoints, adaptive designs, Bayesian design and analysis methods, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, and data-mining. Interns have been involved in the development of statistical methods, software tools, and new drug application databases for the analysis of pre-clinical and pre- and post-market clinical data.

Interns are expected to participate in the internship for 40 hours per week at our headquarters in Silver Spring, Maryland, with their mentor and cohort. As part of the internship program, interns will prepare a written report and give a 30-minute presentation summarizing their work.

Successful candidates must be legally eligible to work in the US. It is the student’s responsibility to obtain the appropriate work authorization, if applicable. As required by current immigration law, an internship offer is contingent upon the student’s ability to provide the appropriate documentation to prove work eligibility prior to the start of the internship.

Our program is administered by and paid through the Oak Ridge Institute for Science and Education (ORISE) via its contract to operate with the US Department of Energy. US citizenship is not required for participation in the ORISE research participation programs at FDA. Due to requirements for issuance of an official FDA identification card, individuals selected for participation in CDER’s ORISE program must be able to successfully pass a tier 1 background investigation for the federal government. To do so, participants must have maintained residence in the United States for a minimum of 36 of the past 60 months as of March 13, 2020. F-1 individuals with curricular or optional practical training authorization are eligible, as are J-1 students with academic training authorization or J-1 exchange visitors.


  • Excellent oral and written communication skills
  • Interpersonal and teamwork skills
  • Strong problem-solving skills
  • Strong computational skills
  • Creativity and innovation
  • Self-management skills
  • Proficiency with MS Office
  • Experience with SAS and/or R

Contact: Send CV and cover letter with APPLICATION ORISE 2020 in the subject line. If you have a question, use QUESTION ORISE 2020 as the subject.

Genentech, Inc.

South San Francisco, California
Number of Positions: 4–6
Type of Student: Graduate, pursuing PhD in statistics, biostatistics, or related field
Deadline: January 10, 2020. Applications submitted by Dec 15, 2019, will receive priority review

Genentech is a leading biotechnology company that discovers, develops, manufactures, and commercializes biotherapeutics for patients with significant unmet medical needs. At Genentech, we are passionate about finding solutions for people facing the world’s most difficult-to-treat medical conditions. Our founders believed hiring talented, enthusiastic people would make Genentech a success. Today, we still believe our employees are our most important asset. For this reason, we aim to provide employees with a stimulating and collaborative environment in which they can make important contributions to medicine and thrive as professionals. We commit ourselves to high standards of integrity in contributing to the best interests of patients, the medical profession, our employees, and our communities based on the continual pursuit of scientific excellence.

The biostatistics summer interns will work for 10–12 weeks under the supervision of experienced biostatisticians on theoretical or applied problems with direct relevance to ongoing clinical or nonclinical drug development in diverse therapeutic areas such as oncology, immunology, infectious disease, ophthalmology, and neuroscience. The specific topics may cover research problems from translational research to late-stage clinical trials and post-marketing evaluations.

At the end of the internship, each student gives a department-wide presentation on his or her research topic. It is not uncommon for an intern to summarize their work in a peer-reviewed publication.

Applicants must be at least 18 years old and be current graduate students pursuing a PhD in statistics, biostatistics, or related field who have completed at least one year of graduate work by May 2020 and who will be returning to school in the fall of 2020. The applicant must be legally authorized to work in the US. In addition, applicants should have good working knowledge of R, S-Plus, or SAS and good communication skills.

Apply online.



Upper Providence, Pennsylvania
Number of Positions: 2
Type of Student: MSc, PhD
Deadline: Mid-November for January hiring; mid-April for June hiring

CMC Statistics, within the biostatistics division of GSK, is an internal consulting group that provides statistical consulting support to nonclinical research and development. The co-op student will work under the supervision of the statisticians in CMC Statistics and have the opportunity to do the following:

  • Advise on design, sample size, and other aspects of statistical relevance in the planning of studies
  • Provide statistical analysis, reporting, and interpretation of results of studies
  • Provide statistical computing programs for use either within CMC Statistics or by other R&D staff

This position is full time for five to six months. It will be posted online and managed by third-party Atrium. There are two hiring windows every year. The position from January–June is posted in early October and the position from June–December is posted in late March.

Apply online.


Bay Area, California; New York, New York; Los Angeles, California
Deadline: January 24, 2020

Google’s statisticians and data scientists/quantitative analysts work within our software engineering organization, including Life Sciences, Geo, Project Aura, Technical Infrastructure, and Advertising. We analyze huge sets of data and continually run live experiments to help drive critical decisions at Google. We support the development of innovative, highly scalable, next-generation technologies through deep research and advanced analysis.


  • Currently pursuing a PhD in a quantitative discipline (statistics, biostatistics, computer science, applied mathematics, operations research, economics) or another discipline involving experimental design and quantitative analysis of data
  • Experience using technology to work with data sets such as scripting, Python, or statistical software (R, SAS, or similar)
  • Experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods

Apply January 6–24, 2020.

The Institute for Defense Analyses

Alexandria, Virginia, and Washington, DC
Number of Positions: 22
Type of Student: Undergraduates, graduate students, and PhDs
Deadline: January 4, 2020

The Institute for Defense Analyses’ (IDA) Summer Associate Program provides students with a unique opportunity to use their quantitative and analytic skills to work on challenging real-world national security issues. Positions are available with a variety of foci. Projects from past years have included functional data analysis, Bayesian approaches to reliability estimation, and statistics in science policy.

IDA is a not-for-profit corporation that operates federally funded research and development centers (FFRDCs). Two of these are accepting summer associates.

Staff at the IDA Systems and Analyses Center (SAC) provide objective analyses of national security issues, particularly those requiring scientific and technical expertise, and conduct related research on other national challenges. SAC, located in Alexandria, Virginia, is comprised of the following eight research divisions:

  • Cost Analysis and Research
  • Information Technology and Systems
  • Intelligence Analyses
  • Joint Advanced Warfighting
  • Operational Evaluation
  • System Evaluation
  • Science and Technology
  • Strategy, Forces, and Resources

Staff at the IDA Science and Technology Policy Institute (STPI), located in Washington, DC, assist the White House Office of Science and Technology Policy and other executive branch agencies in formulating federal science and technology policy by providing high-quality, objective, analytical support to inform policymakers.

Each year, IDA hires paid student associates at its Virginia and Washington, DC, facilities to work a minimum of 10 weeks during the summer months. Attendance at the nine-week core period between June 8, 2020, and August 7, 2020, is required. An additional week either before or after the core period is required for a complete 10-week internship. In some cases, opportunities exist for associates to work a few weeks longer than the 10-week minimum.

The wage range is dependent on the field of study and years of education completed. For students living outside the area, IDA pays for one instance of round-trip travel. Associates are responsible for living expenses during the summer.

Learn more and apply for this opportunity.

Contact: Caroline O’Rourke, 4850 Mark Center Drive, Alexandria, VA 22311; (703) 845-2012

Janssen R&D, a Division of Johnson & Johnson

Spring House, Pennsylvania; Titusville, New Jersey; Raritan, New Jersey; La Jolla, California
Number of Positions: 8
Type of Student: PhD candidate
Deadline: February 15, 2020

Janssen Research & Development, LLC, a member of Johnson & Johnson’s Family of Companies, is recruiting for quantitative sciences summer interns.

Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Quantitative sciences integrates statistics and decision sciences and clinical pharmacology and pharmacometrics in a single aligned organization as part of Janssen Research & Development, LLC.

For statistics and decision sciences (SDS), summer internships are available for students working toward a PhD in statistics, biostatistics, or a related discipline. Students will have the opportunity to work with practicing statisticians and learn about statistical applications specific to clinical or nonclinical pharmaceutical industry settings. Our teams benefit from the student’s academic training and, in turn, contribute to the professional development of the student and have a first-hand opportunity to evaluate the student’s potential for future employment.

In this role, students will be involved in activities such as supporting research and development in areas that range from drug discovery through phase 2 and 3 clinical studies and, concurrently, pharmaceutical manufacturing, including data preparation, graphical exploration of data, statistical model building and analyses, report writing, and writing of computer programs or applications associated with the statistical analyses. Other activities may include designing experiments, conducting simulations to evaluate optimal designs, and participating in methodological development.


  • Candidates must be enrolled in an accredited college (not necessarily taking classes) and pursuing a PhD in biostatistics, statistics, or a related discipline
  • Students must be available for 10–12 weeks from May to August and have the ability to work full-time during that time
  • A minimum 3.0 GPA is preferred
  • Students must be able to provide their own transportation to/from their work location

Visit the website for a full description and to apply, using the search terms “intern statistics” or “SDS” (without the quote marks), which should provide a listing that includes the summer intern item.

John Deere

Moline, Ilinois
Number of Positions: 20
Type of Student: Undergraduate, graduate, or PhD
Deadline: February 1, 2020

The data and analytics intern program is for students who have completed at least one year of their bachelor’s or master’s program and are looking for a 2–3-month summer internship. Our analytic internship will provide an opportunity for you to apply your data science skills to business problems within a specific department and functional area. Opportunities exist across varied functional areas such as financial services, information technology, precision agriculture, customer and product support, supply management, sales and marketing, order fulfillment, and engineering.


  • Lead and/or support key analytics projects
  • Integrate large and diverse data sets
  • Learn and apply appropriate data science techniques to solve business problems
  • Collaborate with data and analytics colleagues and key business stakeholders

Contact: Megan Osterberg

J.P. Morgan Chase

Columbus, OH
Number of Positions: 4
Type of Student: PhD students in quantitative fields of study
Deadline for Applying: January 31st, 2020

Brief Description of Work:
We have exciting summer internship opportunities for PhD students in quantitative fields of study. Your duties will include:

  • Building statistical models for key business drivers, including forecasting deposits and revenue, and optimizing marketing strategies
  • Performing advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance
  • Communicating results across audiences throughout JPMorgan Chase
  • Actively contributing to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group

Examples of projects that you could be working on include:

  • Forecasting the performance of branches or bankers to optimize the branch network and staffing
  • Creating price elasticity models to optimize deposit and loan pricing
  • Building household-level models to aid marketing budget allocations and customer acquisition
  • Building budget and regulatory models to predict deposit account closure rates


The Lubrizol Corporation

Wickliffe, Ohio
Number of Positions: Multiple
Type of Student: Bachelor’s, master’s, PhD
Deadline: February 2, 2020

Lubrizol is an innovative specialty chemical company, owned by Berkshire Hathaway, with technologies that improve the performance of our customers’ products in the global transportation, industrial, and consumer markets. At Lubrizol, our mission is straightforward: We improve lives as an essential partner in our customers’ success, delivering efficiency, reliability, or wellness to their end users. What does that mean in the real world? Fewer emissions for cleaner air. A smoother, safer drive. Great looking hair. Fibers that breathe and coatings that stay bright. Safer, more comfortable patient care. And that is just to name a few. We’re always looking for ways to make the best better.

Operating like a start-up company, but with the backing of a large corporation, the statistics and data analytics team is charged with creating systems that enable highly effective product development via virtual experimentation, optimization, and knowledge discovery. In addition, the team provides data science consulting services to the Lubrizol technical community throughout the world. The project work depends on the skills/interests of the intern and the current needs of the department.

Apply for internship positions.

Contact: Allison Rajakumar, 29400 Lakeland Blvd., Wickliffe, OH 44092; (440) 347-4679

Mayo Clinic

Rochester, Minnesota
Number of Positions: ~ 15–18
Type of Student: Undergraduate, graduate, PhD
Deadline: January 15, 2020

The Mayo Clinic Division of Biomedical Statistics and Informatics has summer internship opportunities for undergraduate students who have completed their junior year and graduate students at all levels. Internships of 6–9 months may also be offered.

Interns will work with statisticians, bioinformaticists, and clinical investigators on research projects in areas such as clinical trials, statistical genetics, and bioinformatics. Experience with SAS and/or R preferred. Whether an individual applicant will be offered a position will depend on their qualifications, our need and available funding, and the number of applicants.

To apply, submit an unofficial transcript, résumé, and cover letter. Search keyword “Biostats” (statistical internship) or “Intern-IS” (informatics internship) and our current openings will be available.

For more information, review our professional opportunities.

Contact: Bud Harris, Department of Human Resources, Mayo Clinic, 200 First St. SW, Rochester, MN 55905; (480) 342-3493; (507) 284-1445 (fax).

Memorial Sloan Kettering Cancer Center

New York, New York
Number of Positions: Multiple
Type of Student: Undergraduate
Deadline: January 17, 2020, at 5 p.m. EST

The Quantitative Sciences Summer Undergraduate Research Experience (QSURE) program is a National Cancer Institute (NCI)-funded internship (R25 CA214255) designed to provide a hands-on research experience to undergraduates with an aptitude for and interest in quantitative sciences in cancer. Students will participate in an individual research projects and receive exposure to methods in biostatistics, epidemiology, and health outcomes research. Through the program, students will advance their quantitative skills and knowledge, as well as their understanding of options for graduate study and careers in these areas. Student research projects will be individualized and address topics such as survival analysis, prediction modeling, cancer epidemiology, genetics and genomics, quality measurement, and disparities in cancer care and outcomes.

Candidates must have completed one academic year of college and one college-level statistics course (AP Statistics does not count) and be enrolled as a full-time undergraduate student. Competitive applicants must have a keen interest in cancer and population health, demonstrated aptitude in data analysis, and excellent oral and written communication skills.

The program provides a modest stipend for the 10-week summer internship at the Department of Epidemiology and Biostatistics, located in midtown Manhattan. Students are responsible for their own housing, but QSURE will provide a nominal reimbursement for housing expenses. Applicants must be authorized to work in the US.

For details and to apply, visit the website.

Internship duration: June 1 to August 7, 2020

Contact: 485 Lexington Ave., 2nd Floor, New York, NY 10017; (646) 888-8156;

Mental Health in the Country of Ukraine

Kiev, Ukraine (two weeks); Sioux Center, IA (eight weeks)
Number of Positions: 9
Type of Student: Undergraduate
Deadline: January 31, 2020

Undergraduate students with an interest in applying complex survey sampling techniques to the analysis of population-based psychological/mental health data from Ukraine are encouraged to apply to this international research program. Successful applicants will work with a team of other undergraduate students on interdisciplinary research projects investigating a variety of research questions about this developing country, leading to publication in peer-reviewed journals and presentations at regional and national conferences.

Participants will receive a $5,000 stipend for the 10-week program, which runs from May 18 to July 24, 2020. The first two weeks will be spent in Ukraine (travel, lodging, and related expenses are paid for by the program), working with research collaborators at the Kiev International Institute of Sociology. The remaining eight weeks will be spent in Sioux Center, Iowa.

Some projects are appropriate for students with more statistical background and others for students with less, so all levels of students are encouraged to apply. Free apartment-style housing and funds for travel to/from Sioux Center, Iowa, will be provided. Applicants must be US citizens.

Application and additional information.

Contact: Emily Mettler, Department of Mathematics and Statistics, Dordt University, 498 4th Ave. NE, Sioux Center, IA 51250; (712) 722-6264

Merck Research Laboratories

Rahway, New Jersey; Kenilworth New Jersey; Upper Gwynedd, Pennsylvania; West Point Pennsylvania
Number of Positions: 15
Type of Student: Graduate
Deadline: Rolling deadline

We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science,” great medicines can make a significant impact to our world. And we believe a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.

The Biostatistics and Research Decision Sciences (BARDS) Department has approximately 15 internships in preclinical biostatistics and clinical biostatistics for full-time students pursuing an MS or PhD degree in statistics or biostatistics. In these internships, you will work closely with an experienced pharmaceutical industry statistician to perform statistical analysis of data from and/or statistical research related to basic drug research, clinical pharmacology, drug and vaccine development, biomarker development, or pharmacogenomics.


  • Candidates must be currently enrolled students who have completed at least (2) semesters of graduate work toward an MS or PhD degree in statistics or biostatistics by May 2020.
  • Candidates must be available to work full time for up to(12 weeks beginning in May or June of 2020.
  • Candidates must have effective oral and written communication skills.
  • Candidates must have a good working knowledge of Statistical Analysis Software, S-Plus, and/or R.

To be considered for these positions, visit the career website to create a profile and submit your résumé. Résumés will not be accepted via email.

National Cancer Institute

Rockville, Maryland
Number of Positions: 2
Type of Student: Flexible
Deadline: Three months before you want to start

Clinical trials methodological research, specifically helping to prepare manuscripts (for publication) focusing on the design and analysis of clinical trials. Please see the NCI website.

This is an unpaid internship. To compensate, we try to make the experience as educational and rewarding as possible. There is no clerical work. Rather, the intern engages in high-level methodological research in areas of substantial importance in the design and analysis of randomized clinical trials. Recently, we have focused mostly (but not exclusively) on the nexus among randomization methods, allocation concealment, and selection bias. Please familiarize yourself with this area of research before making contact. Thank you.

Contact: Vance Berger, (240) 276-7142

Netflix (Data Science and Engineering)

Los Gatos, California, and Los Angeles, California
Number of Positions: Approximately 8
Type of Student: Post-qual PhD students preferred
Deadline: Interviews will begin in early January 2020

The data science and engineering team at Netflix strengthens and optimizes all parts of the Netflix business through the use of data. Our work spans analytic reporting, experimentation, causal inference, predictive modeling, research and development on new models and algorithms, and operations research.

We are looking for a small number of summer fellows with the following qualifications:

  • PhD student in a STEM field engaged in ongoing research at an accredited university and eligible to work in the USA
  • Prior applied experience with statistics or machine learning
  • Experienced coder in at least one language (e.g., R, Python, Java, Scala, C++)
  • Curious, self-motivated, and excited about solving open-ended challenges at Netflix
  • Great oral and written communication skills
  • (Preferred) Comfortable writing SQL queries
  • (Preferred) Experience with version control (e.g., Git)

Netflix is a unique place to work, and we live by our values, so it’s worth learning more about our culture.



East Hanover, New Jersey; Cambridge, Massachusetts; Fort Worth, Texas; Princeton, New Jersey
Number of Positions: Multiple
Type of Student: Graduate, PhD
Deadline: January 31, 2020

At Novartis, we are reimagining medicine to improve and extend people’s lives. We have one of the most diverse product pipelines in the pharmaceutical industry and performance-driven professionals are bringing innovative medicines to life.

The department of biostatistics and pharmacometrics at Novartis will have multiple internship positions available for approximately 12 weeks in 2020 (May to August; dates flexible).

Interns will work on statistics, pharmacometrics, or data science projects to design and analyze clinical trials and/or perform relevant quantitative research under the guidance of experienced quantitative scientists. Various real-world problems will give interns hands-on exposure to the early and late phases of drug development across therapeutic areas such as oncology, cardiology, immunology, neurology, ophthalmology, and respiratory care. Potential topics include machine learning (e.g., deep learning), survival analyses, causal inference, Bayesian statistics, disease progression modeling, and/or PK/PD modeling. Interns will also attend seminars and other activities to enhance their understanding of the drug development process. There will be opportunities for interns to present their project results to quantitative scientists and other key stakeholders.

Candidates must be enrolled in a graduate-level program working toward a PhD in biostatistics, statistics, pharmacometrics, engineering, or a related discipline and have completed at least 1.5 years of course work. Competitive candidates must have excellent oral and written communication skills and strong problem-solving skills. Working knowledge of R or SAS, as well as a strong background in NONMEM, Python, and/or other software/languages is preferred.

Contact: Send your CV to

Pfizer Inc.

La Jolla, California; Boulder, Colorado; Groton, Connecticut; Collegeville, Pennsylvania; Cambridge, Massachusetts; New York, New York; Andover, Massachusetts; Pearl River, New York
Number of Positions: 15
Type of Student: Graduate student in statistics, biostatistics, or related field
Deadline: January 31, 2020

At Pfizer, there are more than 200 statisticians working on all phases of drug development—from discovery, development, and manufacturing to commercialization. Pfizer is recognized as an industry leader in the use of modeling and simulation to drive drug development. Statisticians are members of the “clinical triad,” in which each of the statistical, clinical, and clinical pharmacology disciplines bring their respective skills to bear in a collaborative manner to deliver the very best trial designs and analyses.

The internship will consist of up to 480 hours of work at one of the Pfizer sites in New York, California, Colorado, Connecticut, Massachusetts, or Pennsylvania, commencing as early as April and ending as late as December. The intern’s project will be biopharmaceutically oriented, with one-on-one supervision by a senior staff statistician. The work will be a hands-on learning experience focusing on current project needs and will likely involve use of SAS, R, or other statistical software. As part of the internship program, the intern will prepare a written report and brief presentation summarizing the work and forming a permanent record of the intern’s efforts.

To apply, send an application to

Contact: Xun Lin, Pfizer Inc., 10555 Science Center Drive, San Diego, CA 92121

QST Consultations, LTD

Allendale, Michigan
Number of Positions: 2 +
Type of Student: Master’s or PhD in statistics, biostatistics, or related field
Deadline: January 17, 2020

The internship is a 12-week program starting May 25, 2020. The program is primarily SAS based. The intern will be part of the statistical services department and become familiar with the CDISC data structure, as well as be involved in the programming of outputs for our clients. These outputs, including tables and listings, will be part of a clinical study report our clients will submit to regulatory authorities.

From the internship, the student can expect to strengthen their SAS programming skills, be exposed to a typical office environment, and gain experience in the analysis and development of clinical trials. Our past PhD interns have had the opportunity to delve into deeper research projects, including research into techniques such as multiple imputation and more advanced modeling approaches. One past intern became a co-author of a poster presentation for the Joint Statistical Meetings (JSM), titled “Comparison of Multiple Imputation and Repeated Measures Logistic Regression for Treatment of Missing Data.” All past PhD interns also worked concurrently on projects focused on solving real client problems within the biostatistics consulting group at QST.

QST Consultations, LTD is a contract-based clinical research organization providing full clinical operations, data management, statistical analysis support, and medical writing services to the drug and device development industries. Founded in 1974, the company has collaborated with clients on many successful Phase I–III and post-marketing clinical trials, along with ongoing marketing activity support. QST’s primary focus is to meet the goals of each client through personalized service and technical expertise; we currently work with a range of sponsors that extend from small start-up organizations to well-established leaders in the pharmaceutical industry.

Ideal candidates are those who meet the following qualifications:

  • Are pursuing a master’s degree or PhD in statistics, biostatistics, or related field
  • Have basic competency with SAS
  • Have experience with Excel and Microsoft Office
  • Have basic to advanced understanding of applied statistics
  • Are interested in learning about clinical trials and the analysis and organization of the data
  • Can commit to 40 hours a week for the summer in Allendale, Michigan

Exceptional candidates who do not meet all the above qualifications are still encouraged to apply if they have a deep interest in health-related research. Please send a CV and cover letter to apply.

Contact: Taylor Young, QST Consultations, LTD, 11275 Edgewater Drive, Allendale, MI 49401; (616) 892-3730; (616) 892-4781 (fax)

Sanofi US, Inc.

Bridgewater, New Jersey; Cambridge, Massachusetts
Number of Positions: Multiple
Type of Student: PhD candidate in statistics or biostatistics
Deadline: March 1, 2020

Successful candidates will work on design and analysis of early- and late-phase clinical trials and statistical methodology research under the supervision of senior-level statisticians.

Candidates must have completed at least two years of graduate coursework and be working on a dissertation toward a PhD in statistics or biostatistics. Requirements include effective oral and written communication skills and knowledge of SAS and/or R. Python is a plus.

Email CV and (un)official graduate transcript to Xiaodong Luo.

Contact: Xiaodong Luo, Department of Biostatistics and Programming, Sanofi US Inc., 55 Corporate Drive, Bridgewater, NJ 08807; (908) 981-2552.

SAS Institute, Inc.

Cary, North Carolina
Number of Positions: Multiple
Type of Student: PhD or Master’s students
Deadline: Starting now on a rolling basis (before January 31, 2020)

There are multiple summer intern positions in different areas, such as statistics, econometrics, machine learning, and operations research.

As an intern in the statistics area, you will contribute to research, numerical validation and testing, and documentation. The program provides an excellent opportunity to explore software development as a career choice.

Eligible candidates must have demonstrated experience in statistical computing beyond the routine classroom use of statistical packages. We are particularly interested in candidates with research experience in computational aspects of one of the following areas:

  • Bayesian modeling
  • Causal inference methods
  • Complex survey methods
  • Joint modeling
  • Latent variable models
  • Missing data methods
  • Nonlinear mixed models
  • Sparse methods for high-dimensional modeling
  • Structural equations modeling
  • Survival analysis

Information and application details can be found on SAS website.

Contact: Fang Chen, R4250 SAS Campus Drive, Cary, NC 27513

Shionogi, Inc.

Florham Park, New Jersey
Number of Positions: 1
Type of Student: Graduate or undergraduate
Deadline: February 15, 2020

The intern will work closely with experienced statistics project leaders and trial lead statisticians. The intent is to offer exposure across projects and therapeutic areas regarding the day-to-day job of an industry statistician to demonstrate the opportunities in statistics in the pharmaceutical industry. In return for this opportunity, the intern will be responsible for, but not limited to, the following:

  • Data analysis and interpretation from clinical trials under the direction of the trial lead statistician and/or project lead statistician across phases 1 through 3
  • Identifying and applying appropriate statistical techniques, methodologies, and software to actual clinical trial data
  • Learning about ongoing projects
  • Contributing to ongoing study design efforts
  • Participating in statistical research projects and statistical lunch and learn discussions

The successful candidate will be a self-starter who can find opportunities and accomplish beyond the planned internship. Shionogi, Inc. is open to working in concert with the candidate to maximize the experience.


  • Experience with software packages, including SAS. Experience with R is a plus, as is experience with SAS Viya.
  • Good verbal and written communication skills.
  • Current PhD candidate or master’s degree candidate. Will consider bachelor’s candidate who has been highly successful in undergraduate statistical curriculum and plans to pursue higher statistical candidate degrees.

Our people are the foundation of our culture at Shionogi, Inc. Collaboration is central to who we are and how we work. We combine the spirit and nimbleness of an entrepreneurial culture with the resources of a global company. Shionogi, Inc. (SI) biometrics is a multi-function group as part of the SI clinical development department. SI biometrics is a strategic partner in generating data-driven evidence through our Statistics, Data Management, and Statistical Programming Group. SI Biometrics is part of a global biostatistics group that includes these functions, as well as data scientists.

Shionogi, Inc. is an equal opportunity/affirmative action employer. It is the policy of Shionogi, Inc. to undertake affirmative action in compliance with all federal, state, and local requirements to recruit a diverse pool of applicants and ensure our employment practices are, in fact, nondiscriminatory.

Contact: Bruce Binkowitz, 300 Campus Drive, Florham Park, NJ 07932; (973) 307 3487.

Social and Decision Analytics Division, Biocomplexity Institute and Initiative, University of Virginia

Arlington, VA
Number of Positions: 10+ undergraduate interns and 5+ graduate students
Type of Student: Undergraduate students in any discipline and graduate students (MS or PhD) with quantitative/analytical skills enrolled at any US university
Deadline: January 31, 2020

The Social and Decision Analytics Division (SDAD) is seeking applications for graduate fellows and undergraduate interns for its Data Science for Public Good (DSPG) program. The DSPG program will run for 11 weeks (May 26 – August 7) for graduate fellows and 10 weeks (June 1 – August 7) for undergraduate interns. Fellows and interns will work in teams collaborating with postdoctoral associates and research faculty from SDAD and project stakeholders. The research teams will combine disciplines including statistics, data science, and the social and behavioral sciences to address complex problems proposed by local, state, and federal agencies.

Visit the DSPG website for more information about the program.

To apply, submit an application online at and search for requisition number R0010930. Attach a current CV/résumé, transcript, and cover letter with your relevant experience and interest in the position. Please have three confidential letters of reference sent to

Contact: Gizem Korkmaz, Social and Decision Analytics Division, Biocomplexity Institute and Initiative – University of Virginia, 1100 Wilson Blvd., Office #2910, Arlington, VA 22209; (434) 243-7334

StataCorp, LLC

College Station, Texas
Number of Positions: 1–3
Type of Student: PhD student in statistics, biostatistics, econometrics, or a closely related field
Deadline: January 20, 2020

Candidates must have completed at least three years of graduate work; have good statistical, technical writing, and communication skills; and have experience programming in Stata, C/C++, Java, or other statistical and programming languages. Research experience in Bayesian analysis, missing-data methods, multilevel modeling, nonparametric statistics, clinical trials, survival analysis, causal inference, time-series analysis, or panel-data analysis is desirable.

Job duties may include learning how to use Stata and how to program in Stata, collaborating on projects suitable for publication in the Stata Journal, and assisting in adding new features to Stata, along with testing and documenting those features.

Apply at StataCorp LLC, an affirmative action employer—minorities/females/veterans/disability.

Summer Institute for Research Education in Biostatistics (SIBS)

Up to seven sites within the US
Number of Positions: Up to 25 at each site
Type of Student: Undergraduates majoring in mathematics, statistics, biology, or other science who have interest in quantitative methods. Those who already have a baccalaureate degree are eligible to apply, but priority will be given to undergraduates at the time of application. US citizenship or permanent resident status is required.
Deadline: Early March 2020 or as specified by individual sites

The Summer Institute for Research Education in Biostatistics (SIBS)—previously referred to as the Summer Institute in Biostatistics—sponsored by the National Heart, Lung, and Blood Institute (NHLBI), provides a comprehensive six- to seven-week program designed to expose undergraduate students to the exciting opportunities offered by a career in biostatistics and encourage them to pursue graduate study in the field. The term “biostatistics” is used in the broad sense, including statistical genetics, bioinformatics, and data science.

The program will be offered at six to seven sites in the summer of 2020.

Although each program will be different, all will focus on providing participants with an intensive introduction to biostatistical principles and methodologies and the essential role of biostatistics in health sciences research, including biomedical big data. Participants will enjoy instruction and lectures by recognized experts in the field; meet practicing biostatisticians, epidemiologists, and statistical geneticists and genomicists; and gain real-world experience working with data from internationally recognized studies.

The program covers tuition, housing, meals, and extracurricular activities, and participants will earn college credit that can be transferred back to their home institutions.

Applications should be made to each program site separately; there is no restriction on how many programs a student may apply to.

Information about each program is available.

Takeda Pharmaceuticals, Inc.

Cambridge, MA
Number of Positions: Multiple
Type of Student: PhD candidates in biostatistics, statistics, or related disciplines
Deadline: March 15, 2020

The Statistical and Quantitative Science Data Sciences (SQS) Institute of Takeda is looking for PhD graduate students interested in an internship during summer 2020.

Intern positions will be allocated at multiple sites around Cambridge, Massachusetts. Interns will work closely with experienced industry statisticians on topics related to big data, artificial intelligence, innovative design and analysis of clinical trials, and/or pre-clinical research.

Takeda research and development uses science and innovation to improve people’s lives in various therapeutic areas. Takeda is a research-based global pharmaceutical company and one of the global leaders in the pharmaceutical industry.

Candidates must be enrolled in a PhD biostatistics, statistics, or related program. PhD candidates must have passed qualification exams. Three years or more of training post-bachelor’s degree is preferred.

The applicant’s current research topic is important for a successful application. At the end of the internship program, interns will give a presentation summarizing their work.

To apply, email your résumé and cover letter to

Contact: Takeda SQS Intern Coordinator, (617)374-7754.

Thomas Jefferson University Division of Biostatistics

Philadelphia, Pennsylvania
Number of Positions: 3
Type of Student: Undergraduate (junior or senior preferred), graduate (MS or PhD)
Deadline: February 15, 2020

Jefferson’s division of biostatistics in the department of pharmacology and experimental therapeutics will sponsor up to three students as summer interns, who will do the following:

  • Research statistical topics relevant to biomedical research
  • Apply statistical thinking to biomedical research problems
  • Analyze real-world biomedical data and interpret the results
  • Develop statistical programming skills in SAS, R, and other languages
  • Develop and practice communication of statistical methods and results through written and oral presentations
  • Receive guidance and mentoring regarding their future studies and career trajectory

The internship will run for 8–10 weeks from June to August. Interns will be paid a stipend, which will be dependent on academic level, experience, and work schedule.

Applicants should have an interest in pursuing a career in (bio)statistics, data science, or another quantitative field with a focus on the biomedical sciences and may be current students or recent graduates.

For undergraduate students (or those with an undergraduate degree), any degree program is acceptable, but applicants should have strong mathematical and analytical skills and at least one course in computer programming.

For graduate students (or those holding a graduate degree), the degree program should be statistics, biostatistics, or a similar quantitative field.

Apply on the website. Applications will be reviewed and requests for interviews will be sent on a rolling basis.

Contact: Gloria Elnitsky, (215) 955-9079.


Hartford, Connecticut, and St. Paul, Minnesota
Number of Positions: 30
Type of Student: Graduate (MS or PhD) in mathematics, statistics, or data science
Deadline: February 1, 2020

Travelers Advanced Analytics Internship Program provides qualified students with an excellent opportunity to gain first-hand business experience, receive valuable on-the-job training, and learn about the many advanced analytic and data science positions available in the insurance industry. Interns will work on challenging assignments that will use and develop their technical and overall business skills.

This 10-week program allows students to acquire advanced analytical experience working within key business areas (e.g., business insurance, personal insurance, claim). Primary responsibilities include the following:

  • Work in a collaborative and dynamic environment providing recommendations to management on projects that deal with advanced analytical concepts
  • Design and build statistical models at the right level of complexity to produce relevant results for the business
  • Identify, integrate, and structure complex data flows
  • Identify new opportunities for analytic solutions
  • Validate, manipulate, and perform data analysis tasks
  • Provide qualitative and quantitative data support to ensure accuracy of metrics

Apply for job posting 22429BR.

Contact: Frank Malzone

Two Sigma

New York, New York
Type of Student: Bachelor’s, master’s, and PhDs
Deadline: March 1, 2020

As a quantitative research intern, you will take on the following responsibilities:

  • Use the scientific method to develop sophisticated investment models and shape our insights into how the markets will behave
  • Apply quantitative techniques such as machine learning to a vast array of data sets
  • Create and test complex investment ideas and partner with our engineers to test your theories

All the while, you’ll remain engaged in the academic community. As examples, you can do the following:

  • Join our reading circles to stay up to date on the latest research papers in your fields
  • Attend academic seminars to learn from thought leaders from top universities

The internship program lasts 10 weeks in the summer and takes place at our Soho-based, New York City office. You will partner with an assigned mentor and work on a single project during the course of your time here, which will culminate in a final presentation.

Apply at Quantitative Researcher Internships.

Contact: M&T Campus Recruiting

Undergraduate Research Program in Statistical Genetics

Sioux Center, Iowa
Number of Positions: 6
Type of Student: Undergraduate
Deadline: January 31, 2020

Undergraduate students with an interest in statistical genetics and biostatistics are encouraged to apply to participate in the 14th consecutive year of our nationally recognized undergraduate research program in statistical genetics. Successful applicants will work with a team of other undergraduate students on cutting-edge problems in statistical genetics leading to publication in peer-reviewed journals and presentations at regional and national conferences.

Participants will receive a $4,000 stipend for the eight-week program, which runs from June 1 to July 24, 2020. Free apartment-style housing and funds for travel to/from Sioux Center, Iowa, will be provided.

Applicants must be US citizens.

Some hiring may take place prior to the deadline, so applicants are encouraged to submit their application materials as soon as possible.

An application and additional information can be found on the website.

Contact: Nathan Tintle, Dordt University, Department of Mathematics and Statistics, Sioux Center, IA 51250; (712) 722-6264

The University of North Carolina Center for AIDS Research

Chapel Hill, North Carolina
Number of Positions: 1
Type of Student: Undergraduates only (including 2020 graduating seniors)
Deadline: March 4, 2020 (rolling admission)

The Biostatistics Core at UNC Center for AIDS Research is seeking a part‐time paid summer undergraduate intern (~20+ hours/week). The core helps design studies, analyze data, and advance statistical methods for HIV research at UNC and internationally.

As a summer intern, you will have the opportunity to aid in statistical analysis and gain valuable experience in multidisciplinary research. Students majoring in math, statistics, computer science, data science, or another quantitative research field are invited to apply. You will gain valuable collaborative research experience.

Students from underrepresented minorities majoring in any of the above fields are highly encouraged to apply. If you have R‐project, SAS, or Python coding experience, let us know. Visit the website to learn more about our research (Core: Biostatistics). Summer housing/relocation is the responsibility of the applicant.

Contact: Katie R. Mollan, Center for AIDS Research, The University of North Carolina at Chapel Hill, 3126 McGavran-Greenberg Hall, CB #7420; (919) 966-8421 (email preferred).

Host a Career Panel to Connect with Statistics, Data Analytics Professionals

Host a Career Panel to Connect with Statistics, Data Analytics Professionals nevin manimala

A career panel is an opportunity for students to receive advice for getting a job and being successful once in a job. Likewise, for those who are in industry, sharing experiences offers a chance to consider lessons learned on the job.

Host a Career Panel to Connect with Statistics, Data Analytics Professionals nevin manimala

Brittany Green

Brittany Green is a PhD candidate majoring in business analytics at the University of Cincinnati Lindner College of Business. Her research focuses on developing new statistical and machine learning methodologies for complex data with dependence over time and applying cutting-edge methods to business and health applications.

Host a Career Panel to Connect with Statistics, Data Analytics Professionals nevin manimala

Xiaorui (Jeremy) Zhu

Xiaorui (Jeremy) Zhu is a PhD candidate at the University of Cincinnati Lindner College of Business majoring in business analytics. His research interests include high-dimensional statistics, machine learning, finance, relevant applications, and creativity. He is the founder of an algorithm-driven company in China called AirIOne Tech.

Host a Career Panel to Connect with Statistics, Data Analytics Professionals nevin manimala

Zhaohu (Jonathan) Fan

Zhaohu (Jonathan) Fan is a PhD student majoring in business analytics at the University of Cincinnati Lindner College of Business. His research interests include meta-analysis and discrete data analysis. Driven by his strong interest in statistical applications in business and industry, Fan has been actively involved in consulting projects for health care and insurance companies.

Every year, the University of Cincinnati ASA student chapter—named BearStats since the mascot of our university is the Bearcat—hosts a career panel of professionals from industry in statistics and data science.

The first step we take when planning this event is to determine potential panelists and reach out to them. One of the best ways to find potential panelists is through faculty members. We approach faculty members each year and ask them to recommend speakers. Then, we either contact potential panelists or ask faculty members to reach out on our behalf.

Another approach for finding panelists is to contact previous students we interacted with as teaching assistants or classmates. We also ask members from the professional Cincinnati Chapter to consider participating. This is a large and connected group of professionals who understand the mission of student ASA chapters, so they are typically happy to help.

Through these avenues, we maintain a list of professionals who can be contacted for current and future panel sessions.

We think it is essential for our panelists to be representative in terms of training, industry type, and community. We contact alumni from different communities to represent the diversity of students in our chapter. Specifically, we form the panel with a combination of domestic and international professionals who can answer corresponding questions. We also invite professionals in entry-level technical and managerial positions.

Once we confirm the panelists, one of the challenges we face is encouraging students to attend. We market our event in myriad ways. First, we create a flier with the names, job titles, and companies of the panelists and make sure to display “Free Food” in bold letters on all materials. We also ask professors in our department to promote the event during classes. Further, we created a website that allows us to inform potential participants about the event through emails. We send an email and request students RSVP with name, email address, and academic program. We also encourage them to join our club via a form on the website. Finally, we send reminders to students before the event.

We distribute the flier and RSVP link by connecting with program directors and asking them to send an email to their students. We have had students at all levels, backgrounds, and programs attend.

When it comes time to prepare for the panel, we collect questions from students and add general questions that will most benefit those attending. We email these questions to the panelists so they can prepare beforehand. Examples of questions we have asked the panel include the following:

  • What are some of the most challenging/rewarding aspects of your job?
  • What is the most important advice you would give from your experiences?
  • How did you prepare during your bachelor’s/master’s for the job search?
  • What advice would you give to students on the job search?

Students can ask questions at any time during the session. Most importantly, we leave ample time for students to interact one-on-one with the professionals after the event. Also, when the panel is over, we collect feedback from students so we can improve future sessions.

The panels have been supported by department faculty and staff, who have provided parking and helped book the conference rooms. Because the panels provide a platform for sharing experiences between students and professionals, they are popular. We feel lucky to have had the opportunity to connect professionals with students at our university and develop a statistics and data science community in the Cincinnati area.

Flaws discovered in APD’s crime statistics – Albuquerque Journal

Flaws discovered in APD’s crime statistics - Albuquerque Journal nevin manimala

Copyright © 2019 Albuquerque Journal

On July 1 – the day after the second quarter of 2019 ended – Mayor Tim Keller and Albuquerque Police Chief Michael Geier held a news conference to tout mid-year crime statistics.

The presentation showed crime was down substantially, with double-digit drops in nearly every category, between the first six months of 2018 and the first six months of 2019.

Flaws discovered in APD’s crime statistics - Albuquerque Journal nevin manimala

APD Chief Mike Geier

But the picture wasn’t nearly so rosy.


Flaws discovered in APD’s crime statistics - Albuquerque Journal nevin manimalaThe Journal has learned that both the 2019 mid-year statistics and the statistics released at the end of 2018 have since been revised dramatically – to include hundreds, and in some cases thousands, more incidents than were reported initially.

For the most part, the new 2019 numbers still showed a drop in crime, but not to the extent earlier reported by the Keller administration. But the final numbers for all of 2018 showed some violent crime actually increased.

In response to questions from the Journal, the Albuquerque Police Department provided the new set of mid-year statistics last week, saying it had found inaccuracies in what had previously been presented. A spokesman said the records unit that compiled the numbers for the presentation had been short staffed and there was a software glitch that had resulted in chunks of data missing.

The new statistics between the first half of 2018 and the first half of 2019 show:

• Auto burglaries decreased 16%, not 38% as previously announced

• Auto theft decreased 22%, not 39%

• Commercial burglary decreased 3%, not 27%

• Residential burglary decreased 16%, not 39%


• Homicide decreased 2.5%, not 18% (homicides have since increased substantially in the second half of the year)

• Rape decreased 3%, not 29%

• Robbery decreased 30%, not 47%

• Aggravated assault decreased 7.5%, not 33%

Last week, Keller acknowledged the discrepancies but he said the trends the city had highlighted remain the same.

“I think we can find some truth in the trends,” he said. “Clearly this specific data, it always changes. This is probably why in the past they didn’t release this information that much.”

APD provided the revised statistics to the City Council at an October meeting, but did not signal that the numbers had changed drastically.

The city has not held a news conference on crime statistics for the third quarter of 2019, which came to a close at the end of September, but an APD spokesman did share the preliminary data with the Journal. According to what was provided, most crime is still trending downward, with the biggest gains in auto theft and robbery. Aggravated assault and commercial burglary remained relatively constant and homicide saw a 25% increase.


Flaws discovered in APD’s crime statistics - Albuquerque Journal nevin manimalaCity officials say they plan to officially release those numbers at a press conference in the next couple of weeks.

Discrepancy in the numbers

The delay in releasing the most recent crime stats is unusual for the Keller administration, which up until last quarter had been releasing the data within a few weeks of the quarter ending.

In fact, before 2018 even ended – on Dec. 27 – the city released crime statistics that officials said showed “the first decrease in overall crime in nearly a decade, as property and violent crime continue to trend downward.”

But in February APD reported very different numbers to the FBI’s Uniform Crime Reporting program, which collects and publishes data from law enforcement agencies around the country.

That data shows violent crime had actually increased 3.7% between 2017 and 2018 – driven by aggravated assaults.

According to the FBI’s Crime Data Explorer in its annual report:

• Aggravated assault increased 21%, rather than decreasing 8% as announced during the news conference


• Rape also increased by 3%, rather than decreasing 3%

• Auto theft decreased 14%, not 31%

• Homicides remained basically the same, decreasing by a single incident – or 1.4%

• Robbery decreased 32%, which is not far off from the originally reported 36%

Burglaries could not be easily compared, as the city had split up the category by type – auto, commercial and residential – in its initial briefing but not for the FBI report.

Higher than national average

Despite downward trends in many categories – particularly property crimes – crime rates remain higher in the city than the national average.

Auto theft, for example, decreased quite a bit in 2018, but the greater Albuquerque area remained No. 1 in the nation for rates of stolen cars.


And while there have been slight dips in some violent crime categories – the biggest improvements seen in robbery – others have increased. Homicide remains a problem and, with a month left in the year, the city appears to have recently surpassed the highest number in recent history.

Keller’s administration has rolled out numerous programs and initiatives to address violent crime, particularly those involving firearms.

Keller said his administration had tried to be upfront about the problems the city faces.

“When I came in, I wanted to be as transparent as possible with where we’re at on crime and I think that intent is still the right thing to do,” he said. “But it is much more complicated because of all these different databases and these classifications and all that stuff.”

Flaws discovered in APD’s crime statistics - Albuquerque Journal nevin manimala

Mayor Tim Keller

Keller said regardless of the specifics in the data, his administration has made some big gains, especially in property crime.

“The mirror doesn’t lie and the mirror says violent crime is up, and that’s a huge problem, but it also says that property crime and auto theft are down,” he said. “I don’t think it’s about people believing one thing or another, I think it’s just what your definition of crime is. And we have always said that crime is the biggest problem in our community and that continues to be the case.”

Officers need data quickly

At least one researcher questions the practice of releasing crime statistics every three months.


Paul Guerin, the director of the University of New Mexico’s Center for Applied Research and Analysis, said comparing year-to-year data the way the city has been in its quarterly briefings isn’t particularly helpful.

“To see crime go up or go down in these short periods of time would not be a good reflection of what’s occurring,” Guerin said “It just gives you this brief little period to look at.”

He said it would be more helpful to see trends over the past several years.

Guerin said what concerns him most about the discovery of substantial differences in initial and revised numbers is that it suggests the police department doesn’t have a good way of keeping officers up to date on crimes as they occur.

“Operationally they need this data quickly day to day so if they don’t know they’re this far off then how can they use this data operationally?” Guerin said.

Antiquated software

Gilbert Gallegos, an APD spokesman, said he had realized something was amiss with the mid-year data and started asking questions to figure it out. He said both the records department and the Real Time Crime Center have a hand in compiling the statistics.

“We have different software programs that are antiquated and are not very conducive to pull crime stats on a real time basis,” Gallegos said. “There are also issues with how officers input information. As a result, the records unit has to go through reports to ensure they are accurately categorized, etc. The RTCC created a system to make it easier to pull stats under the categories we have been using for quarterly briefings.”


Gallegos said that when he looked into the mid-year statistics, he found the records department employees had not sifted through six weeks’ worth of reports to determine if they needed to be revised to fit into the right categories. He said there was also a software problem that resulted in a large number of incidents not getting counted at all.

“I believe there were problems with the software that were later discovered in which large data categories were not reflected in real time when we pulled those stats,” he wrote in an email.

The city recently announced it plans to ask the Legislature for $20 million to modernize the police department, including a new records system.

“That data and technology are important to support those officers and help target crime,” Gallegos wrote in an email. “We also want to effectively track success and identify trends and areas of improvement. We also want to be transparent with the public and accurate with our crime stats.”

Seymour Siwoff, Master of Sports Statistics, Is Dead at 99 – The New York Times

Seymour Siwoff, Master of Sports Statistics, Is Dead at 99 - The New York Times nevin manimala

Seymour Siwoff, who brought statistical analysis to the sports world, chronicling feats from the epic to the arcane through seven decades as the head of the Elias Sports Bureau, died on Friday at his home in Manhattan. He was 99.

His death was confirmed by his grandson Joe Gilston, whose Joseph Gilston Trust took over Elias in March, purchasing 100 percent of its stock.

Until then, Mr. Siwoff had since 1952 been the president and chief executive of Elias, the official record-keeper for America’s major professional sports leagues. In recent years the bureau’s day-to-day operations had been overseen by Steve Hirdt, the executive director, but Mr. Siwoff remained a presence in its Manhattan office until just a few months ago.

When Mr. Siwoff took control of Elias, it was tallying basic baseball records for newspapers and wire services. At the time, the Brooklyn Dodgers were evidently the only team with its own statistician, Allan Roth, who tracked the performances of the Dodgers’ players.

Sports statistics were still relatively primitive, and record-keeping, long before the computer age, was a laborious task. Managers, coaches and front-office executives were armed with only modest information for plotting strategy and making trades. The correct answer to many a barroom trivia argument might remain unclear long after closing time.

That began to change when Mr. Siwoff purchased the Al Munroe Elias Baseball Bureau from the widows of Al and Walter Elias, who founded it in 1913.

Mr. Siwoff (pronounced SEA-woff) had worked part time for Elias in 1939, when he was a freshman at St. John’s University in Queens. After serving in the Army in World War II — he was wounded in the Italian campaign — he obtained an accounting degree from St. John’s, then returned to Elias, where he melded his professional training with his interest in sports.

Mr. Siwoff renamed the company the Elias Sports Bureau, reflecting his ambition to range through the entire sports world.

ImageSeymour Siwoff, Master of Sports Statistics, Is Dead at 99 - The New York Times nevin manimala

Credit…via Joe Gilston

Elias eventually became the record-keeper for Major League Baseball, the National Football League, the National Basketball Association, the National Hockey League, the Women’s National Basketball Association and Major League Soccer. It also provides national and local sports broadcasting outlets and sports websites with data and content drawing on its archives; among its offerings are short “Elias Says” items for ESPN’s website.

By the 1970s, Elias was relying on computers to unearth data and indicate what it all might mean in anticipating players’ performances.

Through its computer programming, Elias has also provided teams and news media outlets with bits of history within minutes of an odd or spectacular moment on the field, revealing whether anything like it had happened before.

“Statistics can be cold and trivial,” Mr. Siwoff was quoted as having said in the 1970s in “The Numbers Game: Baseball’s Lifelong Fascination With Statistics” (2004), by Alan Schwarz, a former reporter for The New York Times. “But they can also be alive and full of drama.”

“What I enjoy most about statistics is the chance they give you to relive the past,” Mr. Siwoff said. “When Nate Colbert drives in 13 runs in a doubleheader, it gives you a chance to recall when Jim Bottomley drove in 12 in a game.” (Colbert set his record with the San Diego Padres in 1972; Bottomley achieved his with the St. Louis Cardinals in 1924.)

“In looking up things like that, I can see these guys in my mind as clearly as if they were playing again,” Mr. Siwoff said.

Mr. Siwoff assembled a staff, which presided over computers and old record books and scrapbooks, on an upper floor of an office building at Fifth Avenue and 42nd Street in Manhattan, overlooking the New York Public Library.

“We’ve got more information on sports up here in our office than they do down there,” he once said.

Elias has over the years been joined by a growing field of statistical compilers and analysts. But it retains its standing as the official statistician for many leagues.

Seymour Siwoff was born on Nov. 9, 1920, in Brooklyn to Jack and Ida Siwoff and grew up in the Brighton Beach section. His father made women’s shoes.

In his early years at Elias, Mr. Siwoff delivered updated statistics for the major leagues’ batting and pitching leaders to New York newspapers and wire services like The Associated Press after the bureau combed through daily box scores.

Long after his data was computerized, Mr. Siwoff retained something of an old-time aura.

“His slight, angular frame is covered by conservatively cut business suits,” The Hartford Courant reported in 2004. “He always wears a tie and leather shoes with laces, of course, even in the summer. In the winter months comes the overcoat and fedora. His reed-thin mustache is right out of Ronald Colman or William Powell.”

In 1975 Mr. Siwoff began publishing The Player Analysis, printouts weighing some 40 pounds, for about a half-dozen major league baseball teams. The teams paid Elias to assess each of their players’ performances in a host of situations.

From 1985 to 1993, Elias put out a successor publication, the annual Elias Baseball Analyst, which was sold to the public. It has long issued The Elias Book of Baseball Records, an annual publication also available for purchase.

In addition to Mr. Gilston, Mr. Siwoff is survived by a son, Ronald; a daughter, Nancy Gilston; three other grandchildren; and two great-grandchildren. His sister Lela Swift, a pioneering female director whose career went back to television’s early years, died in 2015 at 96.

Elias considers its data proprietary, designed for use by its customers. It doesn’t invite phone calls seeking a definitive answer to barroom arguments.

When asked his age by reporters as the years went by, Mr. Siwoff had a standard retort. As he put it to The Buffalo News in a 2008 interview, That’s the question I never answer.”

Richard Sandomir contributed reporting.