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Annual Internship Listing

1 December 2012 28,330 views 2 Comments

Every year, a list of internship opportunities for students is published in Amstat News. If your organization would like to include an internship opportunity on our website, please complete the form.

Interested students should send a letter of inquiry and résumé directly to the contact and location below. Contact educinfo@amstat.org with questions.

Additional internships will be posted as received on the education section of the ASA website.

AbbVie

North Chicago, Illinois
Number of Positions: 2
Type of Student: PhD in statistics or biostatistics
Deadline: February 15, 2013

The Data and Statistical Sciences Organization within Global Pharmaceutical Research and Development at AbbVie anticipates having internship positions available for the summer of 2013. Internships will begin in May/June and typically last 10–12 weeks, with housing provided for eligible applicants. The successful candidate will be provided with practical, “hands-on” experience and given the opportunity to build their understanding of the pharmaceutical industry and AbbVie. They will be assigned specific projects within the Data and Statistical Sciences Organization and work under the guidance of a senior statistician to perform statistical analyses and/or conduct statistical research in areas of interest to the organization. The successful candidate will have the opportunity to participate in statistical seminars and workshops. At the conclusion of the internship, the intern is expected to give a presentation summarizing some aspect of their work while at AbbVie. Applicants must be enrolled in a graduate-level curriculum leading to a PhD in statistics, biostatistics, or highly related field; have completed at least two full years of graduate study prior to the start of their internship; be in good academic standing within their graduate program and overall at their university; and continue to be enrolled in graduate school for at least one semester following their internship. In addition, applicants must demonstrate excellent communication and problemsolving skills.

Contact: Richard A. Rode, Research Fellow, Data and Statistical Sciences, AbbVie–Dept: R436, Bldg: AP9A-2, 1 North Waukegan Road, North Chicago, IL 60064; (847) 937-3757, richard.rode@abbott.com

 

Amgen Inc.

Thousand Oaks and San Francisco, California; Seattle, Washington
Number of Positions: Multiple
Type of Student: PhD
Deadline: February 8, 2013

Amgen’s Global Biostatistical Sciences Department in our Thousand Oaks, South San Francisco, and Seattle locations is looking for graduate students interested in a 10–12 week internship. Interns will work closely with a senior-level statistician on topics related to the design and analysis of clinical trials and/or nonclinical research. At the conclusion of the internship program, interns will give a presentation summarizing their work.

Basic qualifications are that the candidate must be enrolled in a PhD statistics program (which includes biostatistics, bioinformatics, mathematics programs with an emphasis on statistics, or statistics) for more than one year and must have more than three years of training—post-bachelor’s degree—in statistics, biostatistics, or mathematics/statistics.

Only candidates who apply via the website will be considered. Please search the database via career category—College Job, requisition #17922BR. Amgen retains the right to add or change the duties of the position at any time. As an EEO/AA M/F/V/D employer, Amgen values and encourages diversity in the workplace.

Contact: Barbara Burgess, Amgen Inc., University Relations Department, One Amgen Center Drive, 19-1-A, Thousand Oaks, CA 91320; burgessb@amgen.com

 

AT&T Labs Statistics Research

Bedminster, New Jersey
Number of Positions: 1–3
Type of Student: PhD
Deadline: February 1, 2013

AT&T Labs statistics researchers are involved in many large-scale data analysis projects centered on our phone, wireless, TV, and Internet data feeds. Projects can involve modeling using forecasting, time series, spatial statistics, text mining, and/or Bayesian analysis. For more information, visit the AT&T website. For details and an application, visit the AT&T Summer Internship Program website.

Contact: Chris Volinsky, volinsky@research.att.com; (973) 360-8644

 

Bank of America

Charlotte, North Carolina
Number of Positions: TBD
Type of Student: Undergraduate or master’s
Deadline: December 16

Gain real, in-depth experience applying quantitative knowledge to specific financial challenges and provide a micro view of risk management in a particular business line and macro view of risk management for the bank as a whole. Opportunities include positions within various lines of business, including corporate treasury, enterprise credit risk, global portfolio strategies, corporate finance, and consumer banking.

The Quantitative Management Internship Program is meant to be a feeder pool into the full-time Quantitative Management Rotational Program for strong performers. To apply, you must be pursuing an undergraduate or master’s degree from an accredited college or university in quantitative disciplines such as engineering, mathematics, statistics, computer science, quantitative finance, and/or econometrics with a graduation timeframe between December 2013 and June 2014 and have a minimum GPA of 3.3, exceptional communication skills, and geographic mobility. Preferred skills include the ability to think strategically and creatively and experience with statistical analysis, predictive modeling, linear regressions, SAS, R, and/or Metlab.

Apply at the Bank of America website.

 

Boehringer Ingelheim

Ridgefield, Connecticut
Number of Positions: 5
Type of Student: graduate, PhD
Deadline: March 1, 2013

Boehringer Ingelheim seeks several interns in May/June for 12–14 weeks. Interns will build an understanding of the pharmaceutical industry by supporting clinical trial/project teams under the guidance of experienced statisticians. This includes implementation of statistical analyses of clinical trial data/document writing/quality control/literature review. Eligible candidates are PhD students with at least two years of study and excellent communication/problemsolving skills. Interested applicants may go to Boehringer Ingelheim career website for details and to submit a résumé and cover letter.

 

Bristol-Myers Squibb

Princeton, New Jersey; Hopewell, New Jersey; Wallingford, Connecticut
Number of Positions: Multiple
Type of Student: PhD candidates in statistics or biostatistics
Deadline: None

Full-time internships are available in the summer for 10–12 weeks. Part-time internships are available during the school year and may continue for longer periods. Successful candidates will work closely with a senior-level statistician on topics related to the design and analysis of clinical trials and/or nonclinical research. To be considered, you must have completed at least two years of course work and be working on your dissertation toward a PhD in statistics or biostatistics. Successful candidates will have effective oral and written communication skills and good working knowledge of SAS and/or R. To apply, send unofficial graduate transcripts, a résumé, and a cover letter to the contact below.

Contact: Rose Elcsics, Bristol-Myers Squibb, Mail Stop 2FW-310, 5 Research Parkway, Wallingford, CT 06492; rose.elcsics@bms.com; (203) 677-7279 (fax)

 

Capital One

Richmond and McLean, Virginia; Plano, Texas; Chicago, Illinois
Number of Positions: 15
Type of Student: Master’s within 12–14 months after internship
Deadline: April 30, 2013

The Capital One statistics summer internship program will provide you with the chance to see first-hand how your skills and education translate into solving business problems in the financial services industry. As a statistician intern, you will have the opportunity to work closely with our 100+ statistician community to solve various financial services problems using cutting-edge statistical techniques.

The internship is a 10-week program, which will run from early June through mid-August. Responsibilities may include analyzing data, building models and assessing their quality, model monitoring, supporting business decisions, training to develop skills for the next level, ad hoc statistical analyses on designed tests, and identifying opportunities to apply statistics to improving business performance.

Basic qualifications include graduating within 12–14 months with an MS in statistics or economics; proficiency with SAS or similar statistical programming package; and a bachelor’s degree in math, engineering, economics, or statistics.

Contact: Jamie Coble, 15000 Capital One Way, Richmond, VA 23238; (804) 284-3207; jamie.coble@capitalone.com.

 

Dordt College, Undergraduate Research Program in Statistical Genetics

Sioux Center, Iowa
Number of Positions: 3–5
Type of Student: Undergraduate
Deadline: January 31, 2013, but offers may be made earlier

Undergraduate students with an interest in statistical genetics and biostatistics are encouraged to apply to 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. Visit our website for more information, a link to this year’s project descriptions, and an application.

Participants will receive a $3,200 stipend for the eight-week program, which runs from June 3–July 26, 2013. Free apartment-style housing and funds for travel to/from Dordt College will be provided. Applicants must be U.S. citizens. Hiring may take place prior to the deadline, so applicants are encouraged to submit their application materials as soon as possible.

Contact: Nathan Tintle, Associate Professor of Statistics, Department of Mathematics, Statistics and Computer Science, Dordt College, 498 4th Ave. NE, Sioux Center, IA 51250; (712) 722-6264; nathan.tintle@dordt.edu

 

eBay, Inc.

San Jose, California
Number of Positions: 1
Type of Student: PhD candidate
Deadline: February 1, 2013

Potential projects include the following:

Path analysis—extending Markov chain models of users’ traversal and use of eBay web pages and subsequent business transactions. Requirements include readiness to learn Markov modeling and inference and facility in at least one programming language, preferably R and/or Scala.

Experimentation ontology—extending ontology of one or more of live-traffic experiments (A/B tests), user-interaction with the eBay website, and statistical inference from experimental data. Requirements include experience in programming languages or other formal systems and readiness to learn the Suggested Upper Merged Ontology (SUMO) and related open-source systems.

Causal analysis—Reviewing the professional literature on causal analysis and demonstrating the modifications required by causal analysis in the design and/or analysis of experimental or observational studies of user-interaction. Requirements include training and experience in statistical inference and facility in at least one statistical programming language, preferably R and/or SAS.

Contact: Tony Thrall, athrall@ebay.com

 

eBay, Inc.

San Jose, California
Number of Positions: 1
Type of Student: Graduate, PhD candidate
Deadline: February 1, 2013

Potential projects include the following:

User-Centric Data Mining Tool Development—Developing and refining hadoop-based data-mining tools and software abstractions to enable better representation of key user behavioral and experience constructs with the goal of better understanding user behavior to enable researchers to identify opportunities to improve the user experience on eBay faster. Requirements include a strong interest in user-experience and user behavior (HCI), Scala programming (or strong programming skills in another language and willingness to learn Scala quickly).

Statistical Computational Methods Research—Assessing the state of the art for performing efficient statistical calculations needed for data-driven product development with the goal of devising algorithms and software solutions for web-scale statistical analysis. Requirements include knowledge of statistics and at least one major computation-oriented language (R, SAS, Julia, Octave, Encanter, etc.), desire to deeply explore the possible solutions to web-scale statistical problems, comfort with programming, and ability to learn new languages quickly.

Contact: Jesse Bridgewater, jbridgewater@ebay.com

 

eBay, Inc.

San Jose, California
Number of Positions: 1
Type of Student: PhD candidate
Deadline: February 1, 2013

Potential projects include the following:

Retrospective Analysis on the Effect of Experimentation—Understanding how experiment changes the distribution of revenue/user behavior by studying successful/failed experiments in the past and suggesting statistical models for different patterns and how such information can be used for future experiments. Also, suggesting factors we might need to consider in terms of experimental design. Requirements include training and experience in statistical inference; facility in at least one statistical programming language, preferably R and/or SAS; and experience with large data. Prefer to have experience in longitudinal analysis/time series analysis/hierarchical modeling under Bayesian setting/cluster analysis, design of experiment, SQL.

User Behavior Study—Understanding correlation between user behaviors and the revenue metric and identifying user segments based on their revenue impacts and behavior pattern. Requirements include training and experience in statistical inference; facility in at least one statistical programming language, preferably R and/or SAS; and experience with large data. Prefer to have experience in longitudinal analysis/time series analysis/cluster analysis, design of experiment, SQL, data mining, causal analysis.

Contact: Qian Weng, qweng@ebay.com

 

Educational Testing Service

Princeton, New Jersey
Number of Positions: Multiple
Type of Student: PhD
Deadline: February 1, 2013

Interns participate in research projects under the guidance of ETS mentors. Areas of emphasis include educational measurement and psychometrics, validity, natural language processing and speech technologies, cognitive psychology, learning theory, linguistics and computational linguistics, teaching and classroom research, statistics, and international large-scale assessments. Interns also participate in seminars and workshops on a variety of topics. Each intern is required to give a brief presentation about their project at the conclusion of the internship.

Graduate students who are enrolled in a full-time doctoral program in one of the areas listed above and who have completed a minimum of two years of course work toward their PhD or EdD prior to the program start date are eligible to apply.

Contact: internfellowships@ets.org; (609) 734-5543.

 

Eli Lilly and Company

Indianapolis, Indiana
Number of Positions: 2–3
Type of Student: PhD students with two years of completed graduate work
Deadline: January 31, 2013

The Global Statistical Sciences Division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2013. 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 (mentor).

Candidates must be enrolled in a graduate-level curriculum leading to a PhD in statistics or biostatistics. Preferred skills include demonstrated leadership and ability to influence; excellent communication, teamwork, and interpersonal skills; strong problemsolving skills; creativity and innovation; and self-management skills. Visit the Eli Lilly and Company website to apply.

Contact: Javier Ramirez, Global Recruiting and Staffing, Ramirez_javier@lilly.com

 

Enova

Chicago, Illinois
Number of Positions: 1
Type of Student: Junior/Senior Undergrad

Interns can expect a creative and fast-paced environment where the best idea wins; an emphasis on innovation, optimization, and data-driven decisionmaking; interaction with the executive team on a daily basis; challenging work and the opportunity to develop technical skills; and career advancement.

Advanced Analytics is responsible for building the credit model and all underwriting criteria at Enova. Interns will develop, optimize, and test the credit risk models and underwriting criteria; determine appropriate lending terms and verification procedures; model customer behavior and predict next action; conduct ad hoc analyses using statistical and financial tools to recommend risk management, marketing, and operational strategies; deliver results and present recommendations to key executives; collaborate closely with technology and operations groups to implement real-time automated decision systems; explore new internal input and external data vendors for use in credit models; and research cutting-edge statistical methodology and develop innovative analytic solutions.

Requirements include working toward a bachelor’s, master’s or PhD in engineering; finance; mathematics; statistics; economics; or other business, engineering, or quantitative field from a top-tier school. GPA of 3.5 or higher is preferred. Also, advanced programming ability using SAS to write customized SAS programs for meaningful data analysis; knowledge of general statistics concepts and statistical analysis; working knowledge of SQL; proficiency in spreadsheet applications and advanced use of statistical applications/databases; experience using models to solve real-world problems; good business communication skills; ability to communicate technical concepts to a nontechnical audience; and creativity and diligence.

Contact: recruiting@enovafinancial.com.

 

Fred Hutchinson Cancer

Research Center, Seattle, Washington
Number of Positions: Varies
Type of Student: Undergraduates entering the summer before their final year of studies
Deadline: January 18, 2013

The Summer Undergraduate Research Program (SURP) is an intensive, nine-week internship designed to provide research experience and mentorship for undergraduate students who are interested in biological research. Under the guidance of a faculty mentor, students will complete an independent research project and present their findings at a competitive poster session.

To be eligible, students must be a U.S. citizen or permanent resident enrolled in a U.S. university or college, entering the summer before the final year of undergraduate studies, and have a strong background in the sciences.

Contact: Scott Canavera, scanaver@fhcrc.org

 

Geisinger Health System


Number of Positions: 1
Type of student: MS or PhD in statistics or biostatistics, PhD candidate preferred
Deadline: March 15, 2013

The biostatistics core at Geisinger Health System will have one intern position open, beginning in May/June and lasting 10–12 weeks. The intern will work with biostatistics faculty and/or other research investigators to provide statistical expertise in analysis or method development for research or clinical projects. The candidate will have an opportunity to build their practical experience on study design, analysis, report, and development of manuscript/poster. The candidate is expected to give a presentation to summarize his/her work at the end of the internship or present the summer work in a student forum organized by Geisinger and affiliated universities.

Candidate should have completed one year of statistical theory and/or application courses and have sufficient knowledge in SAS, R, or Stata. Research experience or a comprehensive class project is valuable. In addition, the candidate will demonstrate good communication and team work skills and be motivated to do research.

Contact: Xiaowei (Sherry) Yan, xsyan@geisinger.edu; (570) 214-5184; (570) 214-5170 (fax) cc: Xiaoqin (Amy) Tang, xtang@geisinger.edu; (570) 214-8688

 

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 18, 2013, but offers may be made earlier

Genentech is a leading biotechnology company that discovers, develops, manufactures and commercializes biotherapeutics for patients with significant unmet medical needs. Interns 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 research in diverse therapeutic areas, including oncology, immunology, ophthalmology, and virology. Specific topics range from problems in genomics and, more generally, translational research to late-stage clinical trials and post-marketing evaluations. At the end of his/her internship, each student gives a department-wide presentation on their 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 a graduate student pursuing a PhD degree in statistics or biostatistics who has completed at least one year of graduate work by May 2013 and who will be returning to school in the fall of 2013. 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 have good communication skills.

Contact: Send CV, personal statement of interest, and a letter of recommendation to gne2013@gene.com

 

Google, Inc.

Mountain View, California; New York, New York; Seattle, Washington
Number of Positions: 6
Type of Student: PhD
Deadline: February 1, 2013

We supply interesting problems, lots of relevant data, and a chance to work with a Google statistician and software engineers. You provide imagination and analysis/modeling skills. The workplace environment is fun and friendly, but serious regarding technical challenges and performance expectations. Applicants should be PhD students who have completed at least one year of course requirements. They should be comfortable in data-rich environments and have requisite computational skills, including high proficiency in R. Familiarity with scripting languages (e.g., Shell, Python, Perl, Gawk) also may be needed.

The internship program is 12 weeks and concludes with a poster presentation.

Applicants should submit a cover letter, CV, and transcript (or letter of recommendation from a faculty member) to Google’s student website. Only electronic applications will be considered.

 

Liberty Mutual Insurance

Boston, Massachusetts; Keene, New Hampshire; Seattle, Washington
Number of Positions: 8–10
Type of Student: PhD candidates in mathematics, statistics, economics, operations research, or related field. Completion of doctoral prequalifying exams is preferred.

As a statistics intern, you will have the opportunity to apply your academic knowledge and test your skills while working on a variety of real-world business assignments. You will learn about personal and commercial lines products while working in disciplines such as product management research, claim research, distribution research, and marketing research. You will use your quantitative skills to analyze and summarize data, formulate findings, and provide recommendations. Using statistical software such as SAS and R, you will answer business problems and manipulate data, as well as assist others with conducting business research in a hands-on environment. Each intern also will give a presentation on their work to colleagues and the management team at the conclusion of the summer.

Liberty Mutual interns are considered valuable members of the organization and are a primary source for full-time hiring.

Competitive candidates will demonstrate proven statistical/mathematical and analytical skills as acquired through the pursuit of a PhD degree and a record of academic achievement with a minimum 3.0 cumulative GPA. Solid oral/written communication skills and the ability to work both in a team environment and independently are desired. Proficiency in MS Office, Excel, SAS, and a statistical software package also are preferred. Programming skills are desirable.

To apply, visit Liberty’s career website.

Contact: Catherine Clark, 175 Berkeley Street, Boston, MA 02116; PredictiveModeling@libertymutual.com; (617) 574-5709 (fax)

 

The Lubrizol Corporation

Wickliffe, Ohio
Number of Positions: 1
Type of Student: Graduate
Deadline: February 28, 2013

Candidates should apply to Lubrizol’s job website.

Contact: Debbie DeRenzo, 29400 Lakeland Blvd., Wickliffe, OH 44092; (440) 347-1044; (440) 347-5317 (fax)

 

Mayo Clinic

Rochester, Minnesota
Number of Positions: 6–9
Type of Student: PhD, graduate, undergraduate
Deadline: January 20, 2013

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 six to nine months also may 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.

To apply, submit an unofficial transcript, résumé, and cover letter to the internship opportunities website. Search by keyword “Biostats” (statistical internship) or “Intern-IS” (informatics internship). For more information, review the professional opportunities listing.

Contact: Dawn Swiers, Department of Human Resources, Mayo Clinic, 200 First Street SW, Rochester, MN 55905; swiers.dawn@mayo.edu; (507) 284-5048; (507) 284-1445 (fax)

 

National Agricultural Statistics Service (NASS)

Fairfax, Virginia
Number of Positions: 3
Type of Student: Graduate student (PhD preferred)
Deadline: March 1, 2013

NASS is the principal data-collection and estimation arm of the U.S. Department of Agriculture. The agency designs and conducts a variety of surveys focusing on agricultural output and farm conditions, from which it produces a range of official estimates. Intern positions are in its research and development division, which is constantly trying to improve and enhance the agency’s abilities to estimate and forecast accurately using the latest developments in mathematical statistics, cognitive science, and remote sensing. The agency is interested in hiring mathematical statisticians and survey methodologists for positions in both the research and operational environments. Preference will be given to candidates who have an interest in a future career with the agency. Applicants must be U.S. citizens.

Contact: Mark Harris, 3251 Old Lee Highway, Room 305, Fairfax, VA 22030; mark.harris@nass.usda.gov; (703) 877-8000 x101; (703) 877-8042 (fax)

 

National Cancer Institute

Bethesda, 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. See Clinical Trial Training Internships.

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 research in important areas.

Contact: Vance Berger, vb78c@nih.gov; vance917@gmail.com; (301) 435-5303; (301) 402-0816 (fax)

 

Novartis Oncology, Biometrics, and Data Management

Cambridge, Massachusetts; Florham Park/East Hanover, New Jersey
Number of Positions: Up to 8
Type of Student: At least 18 months of graduate work
Deadline: February 15, 2013

The internship program will be approximately 12 weeks (May-August, dates flexible). Interns will work with senior-level statisticians and focus on statistical research in both early clinical development using biomarkers and full clinical development in oncology. Topics include survival analysis, Bayesian methods, PK/PD, nonparametric statistics (especially in the incomplete repeated measurement setting), health-related quality of life, missing data, modeling, and simulation. Further information can be found in the September 2011 issue of Amstat News .

Candidates must be graduate students within an MS or PhD program in biostatistics, statistics, or a related degree with at least 1.5 years of graduate work; have a working knowledge of SAS, including SAS/GRAPH, and R helpful; and have good verbal and written communication skills.

Contact: Linda Finelli, 1 Health Plaza, E. Hanover, NJ 07936; Linda.finelli@novartis.com; (862) 778-7404; (973) 781-2703 (fax).

 

Office of Biostatistics, CDER, FDA

Silver Spring, Maryland
Number of Positions: 10
Type of Student: Advanced PhD students
Deadline: April 30, 2013

Interns will work from June through August 2013 on research projects that are relevant to OB science needs (e.g., missing data, noninferiority trials, multiple endpoints, adaptive designs, meta-analysis, benefit-risk analysis, and data-mining) involving the development of statistical methods, software tools, and new drug application databases for the analyses of pre-clinical and clinical (pre- and post-market) data. The interns will gain hands-on experience on regulatory research projects under expert OB mentors.

Contact: Send CV and cover letter to Ram Tiwari, Associate Director, OB/CDER/FDA, ram.tiwari@fda.hhs.gov

 

Precision Bioassay, Inc.

Burlington, Vermont
Number of Positions: 2
Type of Student: Graduate
Deadline: February 1, 2013

Precision Bioassay, Inc. has two graduate internships open for 2013. Requirements are experience and familiarity with R, mixed models, and linear/nonlinear models, as well as at least one year of theory and one year of methods in statistics or a closely related field. Substantial programming experience, a minor in computer science, training in biology, and pharmaceutical industry experience are all desirable. To learn more, visit Precision Bioassay’s website.

Contact: David Lansky, David@precisionbioassay.com; (802) 865-0155

 

The Procter & Gamble Company

Cincinnati, Ohio
Number of Positions: TBD
Type of Student: PhD—Statistics or Biostatistics
Deadline: January 15, 2013

Summer interns can expect to work on applied statistics problems related to Procter & Gamble’s consumer products businesses. Areas of application may include consumer understanding, clinical studies, statistical computing, quality control, and biotechnology. Statistical methods used will depend on the area of application. Interns’ work will be overseen by a P&G statistician and typically be done using SAS, R, S+, and/or JMP. Interns also will be able to participate in various activities with other P&G interns from a range of backgrounds and disciplines.

Students must have completed at least two semesters (three quarters) of study for their PhD by May 2013 and be continuing with their degree program in the fall of 2013. Applicants must be legally authorized to work in the United States. Internships are typically for 10–12 weeks. A computer science background is useful, but not required. Interns are expected to work independently with some guidance, have good oral and written communication skills, and be able to work on applied problems effectively using SAS, R, S+, and/or JMP.
To apply, visit P&G’s career website.

Contact: Joyce Duecker, The Procter & Gamble Company, 8700 Mason-Montgomery Road, Mason, OH, 45040; duecker.ja@pg.com; (513) 622-5495

 

RAND Corporation

Santa Monica, California; Washington, DC; Pittsburgh, Pennsylvania
Number of Positions: Variable
Type of Student: PhD
Deadline: January 15, 2013

RAND Corporation’s summer program is designed to provide valuable experience for PhD students interested in applied research on important policy issues. Visit the corporation’s website to learn more about statistics at RAND. RAND has paid summer associate positions available for graduate students working toward their doctoral degrees in statistics. Selected applicants are offered opportunities to work on projects related to their interests and experience. Preference will be given to students who have completed most of their coursework and passed their initial qualifying exams. Submit an application at the RAND Fellowship website.

Contact: Director, Summer Program, Summer_Director@rand.org; Susan Paddock, Head of the Statistics Group, paddock@rand.org

 

RTI International

Research Triangle Park, North Carolina; Washington, DC; Atlanta, Georgia
Number of Positions: Varies
Type of Student: Undergraduate, Graduate, and Postgraduate within one year following graduation

RTI International is an independent, nonprofit institute that provides research, development, and technical services to the government and commercial clients worldwide. Our research areas include health and pharmaceuticals, education and training, surveys and statistics, advanced technology, international development, economic and social policy, energy and the environment, and laboratory and chemistry services.

RTI internships provide students mentored learning experiences by allowing them to contribute to ongoing RTI projects alongside RTI staff. Interns will be able to participate in enrichment activities such as workshops, seminars, and networking events and present their work at our annual internship symposium with other RTI interns from diverse backgrounds and disciplines. Visit RTI’s career website for more information and a regularly updated list of available internship positions.

Contact: internships@rti.org

 

SAS Institute Inc.

Cary, North Carolina
Number of Positions: 1–2
Type of Student: PhD students studying in the United States; students must have completed at least two years of graduate work by the end of the 2013 spring semester
Deadline: February 1, 2013

The data mining development division at SAS is offering an internship for doctoral candidates in statistics, biostatistics, computer science, mathematics, physical sciences, data mining, econometrics, and operations research graduate departments in the United States with a data mining, text mining, or model-building focus. The data mining fellowship offers the opportunity to assist in basic research into the implementation, applications, and performance of key data mining technologies. This work will include reviewing literature, writing SAS code, testing algorithms, and writing technical reports and review papers. The program provides an excellent opportunity to explore software development as a career choice.

Eligible candidates must have completed at least two years of graduate work by the end of the spring semester of 2013, have core experience in data analysis and model building, and have at least one of the following: SAS programming, Matrix programming, SQL programming, R programming, or Java programming. We are particularly interested in candidates who have research and project interests in statistical modeling, machine learning, text mining, pattern detection and recognition, pattern discovery, and data management.

The program provides a salary and stipend for a 12-week internship at SAS headquarters in Cary, North Carolina, during the summer of 2013. If interested, apply online for position #12002846 (and other fellowship opportunities of interest). In addition, you must ensure that two faculty members from the university/college you’re attending send a letter of recommendation via PDF to SASFellows@sas.com.

Contact: SASFellows@sas.com

 

SAS Institute Inc.

Cary, North Carolina
Number of Positions: 1–2
Type of Student: PhD candidate in economics or related field, studying in the United States, with at least two years of graduate studies completed by the end of the 2013 spring semester
Deadline: February 1, 2013

The econometrics and time series development division at SAS is offering a fellowship in econometrics the summer of 2013. Open to doctoral candidates in economics, finance, statistics, and related graduate departments in the United States, the fellowship offers the opportunity to work closely with professional econometricians and statisticians to develop new features and examples for SAS econometrics and time series procedures in areas such as state space models, multivariate time series models (e.g., VAR-VGARCH), graphical presentation for econometric models, Bayesian econometrics, spatio-temporal econometric models, count data models, nonlinear panel models, and discrete choice modeling.

Eligible candidates must have completed at least two years of graduate work by the end of the 2013 spring semester and have demonstrated experience in statistical computing beyond the routine classroom use of statistical packages. We are interested in candidates with experience/coursework in econometrics and/or time series analysis. Strong computer programming skills and some experience with SAS is preferred.

The program provides a salary and stipend for a 12-week internship at SAS headquarters in Cary, North Carolina, during the summer of 2013. Apply online for position #12002845. In addition, you must ensure that two faculty members from the college/university you’re attending send a letter of recommendation via PDF to SASFellows@sas.com by February 1, 2013.

Contact: SASFellows@sas.com

 

SAS Institute Inc.

Cary, North Carolina
Number of Positions: 1–2
Type of Student: PhD candidate in operations research, industrial engineering, computer science, applied mathematics or related field, studying in the United States, with at least two years of graduate studies completed by the end of the 2013 spring semester
Deadline: February 1, 2013

As a SAS Summer Fellow in the operations research division, you will contribute to activities such as literature review, development and implementation of numerical algorithms, and software application development under the supervision of a senior member of the department. Specific areas of interest are mathematical optimization, constraint programming, and large-scale network algorithms. The department has a staff of more than 30, most with doctoral degrees, whose primary focus is OR-based software development. The program provides an excellent opportunity to learn, collaborate and explore software development as a career choice.

Eligible candidates must have completed at least two years of graduate work by the end of the spring semester of 2013 and have demonstrated experience in statistical computing beyond the routine classroom use of statistical packages. Candidates should have demonstrated programming experience in languages like C, C++, and Java and good knowledge of standard operating systems. Formal software development experience and research interests in mathematical optimization, constraint programming or network analysis are preferred.

The program provides a salary and stipend for a 12-week internship at SAS headquarters in Cary, North Carolina. Apply online for position #12003018. In addition, you must ensure that two faculty members from the college/university you’re attending send a letter of recommendation via PDF to SASFellows@sas.com by February 1, 2013.

Contact: SASFellows@sas.com

SAS Institute Inc.

Cary, North Carolina
Number of Positions: 1
Type of Student: PhD candidate in operations research, industrial engineering, computer science, applied mathematics, or related field, studying in the United States, with at least two years of graduate studies completed by the end of the 2013 spring semester
Deadline: February 1, 2013

As a SAS Summer Fellow in the revenue management and price optimization department, you will contribute to activities such as literature review, development and implementation of algorithms, and software application development under the supervision of a senior member of the department. Specific areas of interest are approximations for solving large-scale network RM problems, choice-based RM, and applications of dynamic programming and simulation for RM.

Eligible candidates must have completed at least two years of graduate work by the end of the spring semester of 2013 and have demonstrated experience in statistical computing beyond the routine classroom use of statistical packages. We are particularly interested in candidates with coursework in operations research; demonstrated programming experience in languages such as C, C++, and Java; and good knowledge of standard operating systems. Formal software development experience and research interests in revenue management and price optimization are preferred.

The program provides a salary and stipend for a 12-week internship at SAS headquarters in Cary, North Carolina. Apply online for position #12002847. In addition, you must ensure that two faculty members from the college/university you’re attending send a letter of recommendation via PDF to SASFellows@sas.com by February 1, 2013.

Contact: SASFellows@sas.com

 

SAS Institute Inc.

Cary, North Carolina
Number of Positions: 2
Type of Student: PhD students studying in the United States who have completed at least two years of graduate work by the end of the 2013 spring semester
Deadline: February 1, 2013

The statistical software development division at SAS is offering doctoral candidates in statistics, biostatistics, and related graduate departments in the United States the opportunity to work closely with professional statisticians to contribute to research, numerical validation and testing, and documentation.

Eligible candidates must have completed at least two years of graduate work by the end of the spring semester of 2013 and 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 Bayesian modeling, causal inference methods, finite mixture models, generalized additive models, joint modeling, missing data methods, nonlinear mixed models, spatial analysis, structural equations modeling, survival analysis, or variable selection. We are also interested in candidates with experience in distributed and parallel methods for statistical computing.

The program provides a salary and stipend for a 12-week internship at SAS headquarters in Cary, North Carolina. Apply online for position #12002844. In addition, you must ensure that two faculty members from the college/university you’re attending send a letter of recommendation via PDF to SASFellows@sas.com by February 1, 2013.

 

StataCorp LP

College Station, Texas
Number of Positions: 1
Type of Student: Graduate student in statistics or a closely related field
Deadline: February 15, 2013

StataCorp’s statistical department is seeking an intern to work with a senior member of Stata’s development team. This position may include projects in maximum likelihood estimation, multiple imputation, power and sample-size analysis, and nonparametric statistics.

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; answering technical questions from Stata users via email; creating support materials; and assisting in adding new statistical features to Stata, along with testing and documenting those features.

Candidates must be enrolled in a graduate program in statistics or related quantitative field, have good technical writing skills, and be able to communicate effectively in English. A strong mathematical background and experience programming in Stata, other statistical languages, C/C++, and Java are desirable. Visit Stata’s website for more information about the application process.

StataCorp LP is an Affirmative Action Employer—M/F/Vet/Disab.

Contact: Kristen Herring, Human Resources Manager, StataCorp LP, 4905 Lakeway Drive, College Station, TX 77845; hrd@stata.com (979) 696-4600; (979) 696-4601 (fax)

 

StataCorp LP

College Station, Texas
Number of Positions: 1
Type of Student: Graduate student in biostatistics or a closely related field
Deadline: February 15, 2013

StataCorp’s biostatistical department is seeking an intern to work with a senior member of Stata’s development team. This position may include projects in survival analysis, statistical genetics, and clinical trials.

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; answering technical questions from Stata users via email; creating support materials; and assisting in adding new statistical features to Stata, along with testing and documenting those features.

Candidates must be enrolled in a graduate program in statistics or related quantitative field, have good technical writing skills, and be able to communicate effectively in English. A strong mathematical background and experience programming in Stata, other statistical languages, C/C++, and Java are desirable. Visit Stata’s website for more information about the application process.

StataCorp LP is an Affirmative Action Employer—M/F/Vet/Disab.

Contact: Kristen Herring, Human Resources Manager, StataCorp LP, 4905 Lakeway Drive, College Station, TX 77845; hrd@stata.com; (979) 696-4600; (979) 696-4601 (fax)

 

StataCorp LP,


College Station, Texas
Number of Positions: 1
Type of Student: Graduate student in economics, econometrics, finance, or a closely related field
Deadline: February 15, 2013

StataCorp’s econometrics department is seeking an intern to work with a senior member of Stata’s development team. This position may include projects in panel-data analysis, time-series analysis, and causal inference.

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; answering technical questions from Stata users via email; creating support materials; and assisting in adding new statistical features to Stata, along with testing and documenting those features.

Candidates must be enrolled in a graduate program in economics, econometrics, finance, or related quantitative fields; have good technical writing skills; and be able to communicate effectively in English. A strong mathematical background and experience programming in Stata, other statistical languages, C/C++, and Java are desirable. Visit Stata’s website for more information about the application process.

StataCorp LP is an Affirmative Action Employer—M/F/Vet/Disab.

Contact: Kristen Herring, Human Resources Manager, StataCorp LP, 4905 Lakeway Drive, College Station, TX 77845; hrd@stata.com; (979) 696-4600; (979) 696-4601 (fax)

 

Summer Institute for Training in Biostatistics (SIBS)

Up to eight sites TBD
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
Deadline: March 8, 2013, or as specified by individual sites

The Summer Institute for Training in Biostatistics (SIBS), supported by grants from the National Heart, Lung, and Blood Institute (NHLBI), provides a comprehensive six- to seven-week program designed to expose undergraduate students to the opportunities offered by a career in biostatistics and encourage them to pursue graduate study in the field. 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.

Participants will enjoy instruction and lectures by recognized experts in the field; meet practicing biostatisticians, epidemiologists, and statistical geneticists; 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 separately; there is no restriction on to how many programs a student may apply. Interested students should check the NIH website frequently for status updates.

Those who already have a baccalaureate degree are also eligible to apply, but priority will be given to undergraduates at the time of application. U.S. citizenship or permanent resident status is required.

Contact: Song Yang, Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 6701 Rockledge Drive, MSC 7913, Bethesda, MD 20892; yangso@nhlbi.nih.gov; (301) 435-0431; 301-480-1862 (fax)

 

Summer Research Internship Opportunity—SOARS Program

Boulder, Colorado
Deadline: February 1, 2013

SOARS is a summer research internship for students interested in the atmospheric and related sciences at the National Center for Atmospheric Research. The program provides up to four years of summer research and strong mentoring and community support.

Students from disciplines including meteorology, geography, chemistry, physics, engineering, mathematics, ecology, and the social sciences are invited to apply their expertise to understanding the Earth’s atmosphere and to use that understanding to improve life on Earth. In particular, SOARS seeks to involve students from groups that are historically under-represented in the sciences, including African-Americans, American Indians or Alaska Natives, Hispanics or Latinos, females, first-generation college students, and students with disabilities. SOARS welcomes lesbian, gay, bisexual, and transgender students; students who have experienced, and worked to overcome, educational or economic disadvantage; and/or students who have personal or family circumstances that may complicate their continued progress in research careers.

Benefits include a competitive wage, housing, and travel to/from Boulder, as well as funding for conferences and undergraduate and graduate education throughout the year. To download application material, go to the SOARS website or email soars@ucar.edu .

 

Travelers

Hartford, Connecticut; St. Paul, Minnesota; Chicago, Illinois
Number of Positions: 20–25
Type of Student: Undergraduate, graduate, and PhD
Deadline: January 11, 2013

The Actuarial and Analytics Summer Internship Program provides qualified students an opportunity to gain first-hand business experience, receive on-the-job training, and learn about the actuarial and analytics positions available in the insurance industry. It also includes training modules, both peer and management social functions, and a mentor program. Interns will work on challenging assignments that will use and develop their technical and overall business skills.

We provide business overviews and career development workshops, interaction with all levels of management, and a competitive hourly rate. Also, subsidized apartments are available for students who live beyond a commutable distance. Positions are available beginning in early June and last approximately 10–12 weeks.

Successful actuarial interns will have a bachelor’s degree (strong sophomore, junior, and freshmen candidates considered if all criteria are met); related internships/work experience; cumulative overall GPA of 3.2 or greater; working knowledge of Microsoft Office Suite; extra-curricular involvement on campus or in the community; demonstrated analytical, mathematical, communication, and leadership skills; and U.S. citizenship or permanent resident status. They also will have scheduled, taken, and/or passed one CAS/SOA exam.

Successful analytics interns will have a master’s or PhD (will consider strong candidates with a bachelor’s) degree; related internships/ work experience; working knowledge of Microsoft Office Suite; extra-curricular involvement on campus or in the community; and demonstrated analytical, mathematical, communication, and leadership skills. U.S. citizenship or permanent resident status is not required.

Contact: Daren Mauro, dmauro@travelers.com; (860) 954-9086

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2 Comments »

  • Olarogba Emmauel Oluwafemi said:

    Great internship programs. I wish to partake in the future as soon I am through with my programmes in Nigeria.

  • Nidhi S said:

    Hello,

    I am a graduate student at Columbia University, looking for internship opportunities.

    The internships posted here look good and I’m glad to find major companies that provide opportunities in statistics in one list.

    I was wondering, if you posted internships for fall/spring as well.
    Please let me know.

    Regards,
    Nidhi Sanghavi