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Quantitative Analytics Program

Explore our quantitative analytics program.

The rotational Quantitative Analytics program is designed to provide you with the opportunity to gain comprehensive professional and industry experience that prepares you to develop, implement, calibrate, and validate various analytical models. Wells Fargo hires a number of PhDs and Master’s Candidates within the Capital Markets, and Risk Analytics and Decision Science teams.

Join our Early Careers Talent Community to receive updates and job alerts associated with your profile. 

What will you do?

Your responsibilities include, but are not limited to:

Developing and validating models for different uses under the direction of experienced team members according to the track of your choice: 

The Capital Markets Track  deals with the mathematical models for pricing, hedging and risking complex financial instruments. Wells Fargo trading portfolios include products in all traded asset classes such as credit, commodity, Equity, FX Rate, Mortgages, and Asset-Backed Finance.

The Risk Analytics & Decision Science Track  deals with the statistical, econometric, and machine-learning/AI models for a variety of applications, including loss and revenue forecasting, credit decisions, financial crimes, fair lending, operational risks, and analysis of unstructured data such as text and audio.

• Use Python, R, C++, SAS, SQL or other programming languages as well as mathematical/statistical packages for model development and validation
• Perform mathematical model development and validation (risk assessment) under the direction of experienced team members
• Produce required documentation to evidence model development or validation
• Understand business needs and providing possible solutions through clear verbal and written communications to management and fellow team members
• Stay up to speed on industry challenges and new and innovative modeling techniques used across Wells Fargo to solve business problems or enhance business capabilities.
• Participate in model related projects for varying purposes, methodologies and relevant lines of business

Is this opportunity right for you?

Program structure and desired qualifications:

• Full-time program for Master's and PhD candidates. This is a 12-month rotational program that starts in July (1-month classroom training followed by two rotations).
• Summer internship for Master's and PhD candidates. Program length is 10 weeks.
• Enrolled in a Master’s or PhD program in: Statistics, Applied or Computational Mathematics, Computer Science, Economics, Physics, Quantitative Finance, Operations Research, Data Science, Engineering or related quantitative field or a related quantitative field
• Excellent computer programing skills and use of statistical software packages such as Python, R, SAS, SQL, Spark, Java, and C++
• Strong verbal, written communication and interpersonal skills
• For the Capital Markets Track : Experience and demonstrated knowledge in mathematical and numerical methods including Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics
• For the Risk Analytics & Decision Science Track : Experience and demonstrated first-hand knowledge in a number of these areas: data analysis, statistical modeling, machine learning/AI models, data management, and computing

What does my future look like?

Upon successful completion of the program, participants will be permanently placed in one of Wells Fargo's model development or model validation groups:

• Artificial Intelligence Machine Learning Model Development
• Traded Products Model Development
• Risk Modeling Group
• Market and Counterparty Risk Analytics
• Mortgage Model Development
• Corporate Model Risk
• Commercial Banking Model Development
• Consumer Modeling

Where are the opportunities?

Summer internship and full-time opportunities are located in Charlotte, NC. Additional locations may be added based on business needs.

Helpful resources

Learn about the Centers of Excellence of the Quantitative Analytics Program .

Learn more about the   application process.

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2023 Internships

The following companies are looking for 2023 interns. If you are interested in bettering your programming techniques, data analysis skills, and software skills, apply for one of these opportunities.

Organizations can complete our form to include an internship opportunity on our website. Interested students will send a letter of inquiry and résumé directly to the contact and location listed.

Alexion/AstraZeneca Rare Disease

Boston, MA Positions: Multiple Type of Student: Graduate student in biostatistics or statistics Deadline: December 15, 2022

A technical project offering the opportunity for exposure and learning and resulting in a tangible deliverable.

Internship program begins June 5, 2023, with a minimum duration of 12 weeks.

For information, visit Alexion.

Contact: Terin Tyson

Thousand Oaks, CA; Remote Positions: 2 Type of Student: Graduate Deadline: February 2, 2023

Amgen’s 10–12-week internship program offers meaningful project experiences that affect patient’s lives. This internship provides the opportunity to participate in executive and social networking events and community volunteer projects while earning competitive compensation. Relocation in the form of a transportation allowance will be provided for eligible candidates.

Visit the Amgen website to learn more.

Apply: Only candidates who apply via http://careers.amgen.com will be considered. Search the database by position title or requisition R-155721.

Contact: Justine Watson

Astellas Pharma

Northbrook, IL; Remote Positions: 3+ Type of Student: PhD candidate in statistics or related discipline Deadline: January 27, 2023

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

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

To be considered, applicants must have completed at least two years of graduate-level coursework and be working on a 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.

Apply: Send CV, personal statement of interest, and a letter of recommendation to [email protected] .

AstraZeneca

Gaithersburg, MD; Durham, NC; Waltham, MA Positions: Multiple Type of Student: PhD (preferred) or MS candidates in statistics or biostatistics Deadline: February 28, 2023

AstraZeneca will have multiple full-time summer biostatistics internships lasting approximately 10–12 weeks (May/June to August/September; dates flexible). As a biostatistics intern, you will work closely with an experienced statistician on one statistical topic from clinical trials. Potential topics include statistical work in early and late drug development with applications to oncology, rare disease, cardiovascular, and respiratory disease areas.

At the end of the internship, you will be expected to present your work within AZ Biometrics. Candidates must have a good knowledge of R and/or SAS.

The AstraZeneca intern program is only for US college/university students who do not require sponsorship. Interns must be 18 years or older.

Apply: https://bit.ly/3DPaUTh (select “apply now”)

Contact: Valerie Volpe

Auburn University

Auburn, AL Positions: 4 Type of Student: Graduate Deadline: January 9, 2023

Auburn University is accepting applications for their Fall 2023 cohort in their National Science Foundation Research Traineeship (NRT) Program on Climate Resilience in the Southeast.

This is an interdisciplinary program in which candidates accepted into Auburn’s graduate program from an array of schools and departments, including math and statistics, can apply. Funded trainees receive a $34,000 stipend per year for up to two years, qualify for the Auburn graduate out-of-state tuition and instate tuition waivers, and have a set amount of semester student fees paid.

Funded trainees must either be a US citizen or permanent resident. Unfunded trainees may receive departmental support in lieu of NSF funding. Both groups of students have the same expectations and qualify to participate in all aspects of the program.

The NRT program’s goal is to train the next generation of scientists and leaders to help build resilient communities that are prepared for, can effectively respond to, and quickly recover from damaging hazard events in the southeastern United States. MS and PhD students will conduct research within an integrated and multidisciplinary framework with the aim to better understand, predict, and communicate the resilience of natural, social, and built environmental systems.

Candidates need to be accepted to the Auburn University graduate program before participating in the NRT program.

Contact: Kathryn Brown

Apply: https://auburn.qualtrics.com/jfe/form/SV_40iLPHATAtO2lZc

Whippany, New Jersey Positions: 1 Type of Students: Pursuing a Master or PhD degree in Statistics, Biostatistics or related fields The primary responsibilities of this role, Statistician Intern, are to:

• Work on a research project with senior biostatisticians in a fast-paced environment;
• Become involved in the analysis of clinical trial data, programming, and providing support to highly knowledgeable trial statisticians and project statisticians;
• At the end of the internship, the intern will present their research project to the statistics department and a nonstatistical audience.

Contact: [email protected] Website: Statistician Intern

Boehringer Ingelheim Pharmaceuticals, Inc.

Ridgefield, Connecticut Positions: Multiple Type of Students: Current MS or PhD students in the fields of statistics, biostatistics, data science, computer science, epidemiology, public health or mathematics Deadline: March 1, 2023 The Biostatistics and Data Sciences Division of Boehringer Ingelheim (BI) will have multiple full-time internship openings for approximately 12 weeks (May/June to August, dates flexible). You will gain practical experience by working on a research project related to the pharmaceutical industry and/or clinical trials. Interns will be assigned specific projects to work on under the guidance of a BI statistician or clinical data scientist as your mentor(s).

Preferred skills include good written and oral communications skills, teamwork, problem-solving abilities, strong computational skills in SAS or R, good organizational skills, ability to work independently and time management skills.

Contact: Miguel Garcia Jr., [email protected]

Website: https://careers.boehringer-ingelheim.com

Bristol Myers Squibb

New Jersey Positions: Multiple Type of Student: MS/PhD in statistics or data sciences Deadline: January 31, 2023

At Bristol Myers Squibb, we are inspired by a single vision: transforming patients’ lives through science. In oncology, hematology, immunology, cardiovascular disease, and fibrosis—one of the most diverse and promising pipelines in the industry—each of our passionate colleagues contributes to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Requirements

• At least two years of course work and working on your thesis or dissertation toward a master’s or doctorate in statistics, biostatistics, or data sciences
• Effective oral and written communication skills and good working knowledge of SAS and/or R and/or Python
• Authorization to work in the US or corresponding region
• Unemployed at the time the internship starts

Contact: [email protected]

Remote Positions: 2 Type of Student: PhD students in Stats/Biostats; Exceptional Master’s students Deadline: March 1, 2023 Our Strategic Consulting group consists of highly qualified MDs and PhDs, quantitative strategists and regulatory, clinical, medical, and health policy experts. They include widely published, internationally prominent thought leaders who collaborate with an extensive network of health professionals from industry, academic institutions, and government bodies.

Full-time internships at Cytel Strategic Consulting are available in the summer of 2023 for 10–12 weeks. Interns will work closely with senior-level statisticians on research topics related to the design and analysis of clinical trials. The selected candidates will also have the opportunity to collaborate with other statisticians and Cytel scientists to address design and analysis questions on interesting real-world projects. Potential statistical topics include Group Sequential / Adaptive Design of Randomized Trials, Analysis of high-dimensional data using Machine Learning algorithms and Bayesian modeling and analysis.

• 18 years or older
• Completed 2 years of graduate school and currently enrolled in a PhD program from an accredited college or university in Statistics, Biostatistics or Mathematics
• Exceptional students from the Master’s track will also be considered.
• Proficiency in R (or alternatively, a low-level programming language such as C/C++)
• Eligible to work in the United States without work authorization (OPT/CPT is acceptable).

Please submit a resume and an optional cover letter with any additional information about your background, fit and research interests

Cytel is an industry pioneer of adaptive clinical trials and a thought-leader in statistical science. We are the largest provider of statistical software and advanced analytics for clinical trial design and execution. For over thirty years, Cytel’s scientific rigor and operational excellence have helped biotech and pharmaceutical companies navigate uncertainty, prove value, and unlock the full potential of their data.

Contact: [email protected]

Daiichi Sankyo

Basking Ridge, NJ; Remote Positions: Multiple Type of Student: PhD (preferred) or MS candidates in statistics or biostatistics Deadline: February 15, 2023

We are looking for multiple full-time statistics summer interns to join our organization for approximately 10–12 weeks. You will work closely with senior-level biostatisticians on innovative statistical methodology and/or application topics related to the design and analysis of oncology clinical trials. At the end of the internship, you will be expected to present your work within Global Statistical Seminars. The ideal candidate will have a good knowledge of R and/or SAS and completed at least two years of graduate-level courses.

Apply: https://forms.office.com/r/wJ4w4TAift

Contact: Philip He

Eli Lilly and Company

Indianapolis, IN Positions: Multiple Type of Student: PhD Deadline: January 15, 2023

The statistics, data, and analytics division of Eli Lilly and Company anticipates having several internship positions available for the summer of 2023. 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.

Responsibilities The job tasks listed below outline the scope of the position. The application of these tasks may vary based on current business needs.

• Operate in collaboration with study personnel to provide input on study protocol, design studies, and write protocols for the conduct of each study
• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created
• Collaborate with team members to write reports and communicate results
• Introduce and apply innovative methodology and tools to solve critical problems
• Merge scientific thinking and business knowledge to identify issues, evaluate options, and implement solutions
• Lead projects independently and work effectively across functions
• Enrolled in a graduate-level curriculum leading to a PhD in statistics or biostatistics
• Completed at least three years of graduate work by May 2023

Additional Skills/Preferences

• Proficient in statistical programming languages/software such as SAS, R, Spotfire, WinBUG, etc.
• Interpersonal communication skills for effective customer consultation
• Teamwork and leadership skills
• Technical expertise and application with working knowledge of experimental design and statistical analysis
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables
• Creativity and innovation
• Demonstrated problem-solving ability and critical thinking

Apply: Lilly PhD Statistician Intern_2023

Contact: [email protected]

Indianapolis, IN Positions: Multiple Type of Student: Master’s Deadline: January 15, 2023

Responsibilities The tasks listed below outline the scope of the position. The application of these tasks may vary, based on current business needs.

Statistical Trial Design and Analysis

• Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and statistical analysis plan, and conducting the actual analysis once a reporting database is created
• Collaborate to plan and implement data quality assurance plans
• Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and show competence in justifying methods selected
• Participate in peer-reviewed work products from other statistical colleagues
• Influence team members regarding appropriate research methods

Communication of Results and Inferences

• Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings
• Respond to regulatory queries and interact with regulators

Therapeutic Area Knowledge

• Understand disease states, competitive landscapes, and regulatory environment to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor

Regulatory Compliance

• Perform work in full compliance with assigned curriculum(s) and be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training

Statistical Leadership and Teamwork

• Apply technical expertise to influence business decisions

Requirement Candidates are enrolled in a graduate-level curriculum leading to a master’s degree in statistics or biostatistics.

• Proficient in statistical programming languages/software such as SAS, R, Spotfire, Python, etc.
• Resource management skills
• Demonstrated problem-solving and critical thinking ability
• Business process expertise associated with critical activities (e.g., regulatory submissions)

Apply: Lilly Masters Statistician Intern_2023

South San Francisco, CA Positions: 14 Type of Student: Master’s or PhD (with at least one year of graduate work by May 2023) majoring in statistics, biostatistics, computer science, data science, mathematics, biotechnology, or related field Deadline: January 27, 2023

Product Development Data Sciences is a group of more than 1,000 data scientists across five global sites. We deliver data and insights about our medicine with excellence and passion. Our mission is to unlock the full potential of data and accelerate innovative health care solutions for patients and society.

This is an intensive 12-week, full-time (40 hours per week, standard business hours) paid internship. Program start dates are in May and June 2023.

Apply: https://go.gene.com/DSS2023SummerInternships

Gilead Sciences

Foster City, CA Positions: 3 Type of Student: PhD candidate in biostatistics, or related discipline Deadline: January 31, 2023

As a Gilead intern, you will contribute to high-impact meaningful projects that will not only further advance our company’s mission but will allow you to gain real-world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events, including professional development and leadership presentations, social/network-building activities, and local community volunteer programs.

Interns will work closely with an experienced biostatistician on topics related to the design and analysis of clinical trials, analysis of biomarker data, or statistical methodology. The internship will include specific projects related to analyzing data, reviewing literature, developing new statistical methodologies or statistical software packages, and running simulations. Interns will gain experience conducting biostatistical research via the application of statistical and computational expertise in combination with critical thinking skills to address real and impactful data analysis issues in clinical trials. At the conclusion of the internship program, interns will give a presentation summarizing their work.

Interns will pursue a research project to develop statistical methods and software in one or more of the following areas: platform trial designs; machine learning; causal inference; survival analysis; missing data imputation; model selection; and Bayesian methods.

• Pursuing a graduate degree in statistics/biostatistics (preferred) or related scientific field
• Authorized to work in the United States without sponsorship now or in the future

Apply: All candidates should apply on the Gilead Career site . Search for “Intern – Biostatistics.”

Collegeville, PA; Remote Positions: 2 Type of Student: PhD Deadline: March 15, 2023

GSK is a global biopharmaceutical company with a purpose to unite science, technology, and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people over the next 10 years.

Research statistics plays an important role in GSK’s discovery of new medicines, collaborating with laboratory scientists to advance exciting, innovative ideas in drug discovery. We design experiments, analyze data, and visualize results for projects that range from small studies with single endpoints to high-dimensional genomic data, using experimental design, mixed models, repeated measures, machine learning algorithms, and Bayesian methods.

We are seeking people with good technical and communication skills and the ability to learn rapidly, develop practical solutions, and apply statistical techniques in creative ways for 10–12-week, full-time summer internships.

Candidates must be currently enrolled students seeking their PhD in statistics, biostatistics, or a closely related field and must have completed two years of graduate study (i.e., coursework equivalent to an MA/MS in statistics).

Apply: Search for “Research Statistics”

Contact: [email protected]

Johnson & Johnson

Spring House, PA; Titusville, NJ; Raritan, NJ; La Jolla, CA Positions: 10 Type of Student: Master’s or PhD Deadline: February 15, 2023

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

Janssen Research & Development discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, cardiovascular and metabolic disease, and pulmonary arterial hypertension.

For Statistics and Decision Sciences, 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.

Qualifications

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

Remote work options may be available as they were in 2022 due to the pandemic, with the expectation that J&J onsite internships will be be permitted by public health governance in the summer of 2023.

Apply: https://bit.ly/3fm3NZa

Liberty Mutual Insurance

Boston, MA; Remote Positions: 20–25 Type of Student: PhD or Master’s Deadline: January 6, 2023

It’s a data-driven world. Be part of a growing community of data science professionals who harness the power of data to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward.

Calling all aspiring data scientists! Here’s the perfect opportunity to grow your knowledge and skills in key areas such as cloud computing, machine learning, and modeling techniques and software.

In the 10–12-week data science graduate-level internship, you’ll build robust models and use statistical software such as R, Python, and SAS to solve critical business problems in product management, claims, distribution, marketing, human resources, legal, finance, and other business functions.

At the conclusion of your summer internship, you’ll deliver a presentation of your work and skills to your colleagues and the data science management team.

The data science graduate-level internship may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States. Our interns often transition into full-time employees at our Boston, Chicago, and Seattle offices.

What You’ve Got

• You possess proven statistical, mathematical, computational, and analytical skills, which you have acquired through the pursuit of a master’s degree or PhD in mathematics, statistics, economics, operational research, computer science, or a related field.
• You have completed doctoral qualifying exams (preferred).
• You have a record of academic achievement and minimum 3.5 cumulative GPA.
• You demonstrate solid oral, written, communication, and interpersonal skills.
• You are a whiz at statistical software such as R, Python, and SAS. Programming skills are highly desirable.

Liberty Mutual offers either a hybrid experience in our Boston headquarters or a fully remote option for our summer of 2023 data science interns.

Apply: https://bit.ly/3FQWy6D

The Lubrizol Corporation

Wickliffe, OH Positions: 4 Type of Student: Undergraduate, graduate, PhD Deadline: February 10, 2023

The statistics and data analytics team at Lubrizol 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 current needs of the department.

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.

Apply: https://bit.ly/3DNKaCS

Contact: Allison Rajakumar

San Carlos, CA; Austin, TX; US Remote Positions: 4 Type of Student: Undergraduate, graduate, and PhD Deadline: January 6, 2023

As an intern in the data department, you will work on exciting solutions in bioinformatics, data science, or biostatistics. Potential projects include analytical tool development, design and analyses of research, validation, and clinical studies.

Natera is a global leader in cell-free DNA testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

Apply: www.natera.com/company/careers

National Center for Education Statistics

The 2023 NAEP Doctoral Student Internship Program will be a virtual program. Interns are allowed to work remotely within the U.S. Positions: Several Type of Students: Graduate Deadline: January 20, 2023 The doctoral student interns will contribute to the development of statistical methods and substantive knowledge about education that inform the discussion, debate, and planning of decision-makers at national, state, and local levels. Specific research topics and project assignments will be based on a consideration of applicants’ skills and interests as well as NCES’s priorities. Example opportunities include presentations to the NCES client and proposal submissions to research conferences.

The mission of the NAEP Doctoral Student Internship Program is to support current doctoral students by providing an opportunity to engage in methodological developments and secondary analysis and using data from the National Assessment of Educational Progress (NAEP). During the 10-week internship program, interns will work directly with researchers from the National Center for Education Statistics (NCES) and the American Institutes for Research (AIR) on research in topic areas such as psychometrics & statistical methods, process data, policy-relevant research, and re-envisioning quantitative information (data visualization). Doctoral interns will collaborate with teams on client-based projects and gain technical skills and knowledge in the field of large-scale assessment.

Contact: [email protected]

Website: https://naep-research.airprojects.org/Explore-Opportunities/Internship-Program

East Hanover, NJ; Cambridge, MA; Fort Worth, TX; (all with hybrid options) Positions: Multiple Type of Student: Graduate students in PhD program Deadline: January 21, 2023

The department of analytics at Novartis has multiple internship positions available for approximately 12 weeks in 2023 (May to August; exact dates flexible).

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.

Interns will work on quantitative projects (statistics, data science, or pharmacometrics) 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 different therapeutic areas. 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, computer science, 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.

Apply: Complete the application form and email a CV to [email protected] .

Video: https://bit.ly/3UcEmbl

La Jolla, CA; Boulder, CO; Groton, CT; Collegeville, PA; Cambridge, MA; New York, NY; Andover, MA; Pearl River, NY Positions: Multiple Type of Student: Graduate students in statistics, biostatistics, or related fields Deadline: February 15, 2023

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

The internship will consist of up to 480 hours of work at one of the Pfizer sites, commencing as early as May and ending as late as September. The intern’s project will be biomedically oriented, with one-on-one supervision by one or multiple senior staff statisticians. 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.

Applicants must have completed at least one year of graduate study by May 2023 and have work authorization in the US.

Pfizer is an equal opportunity employer and will consider all qualified applicants with a commitment to diversity.

Apply: Submit your application via Handshake (Job #7118322 – 2023 Pfizer Statistics Internships). Visit https://app.joinhandshake.com/jobs/7118322 . Please note that if you do not have a Handshake account, you will be prompted to create one.

Contact: [email protected]

QSURE at Memorial Sloan Kettering Cancer Center

New York, NY Positions: 10 Type of Student: Undergraduate Deadline: January, 20, 2023 The QSURE internship program is designed for motivated undergraduate students with a passion for quantitative science. Each student will be paired with an expert mentor to work on an individual, data-driven research project that aims to answer pressing questions in cancer. The program will provide hands-on skills in biostatistics, epidemiology, health outcomes, and/or computational oncology. The QSURE program is funded by the National Cancer Institute (R25 CA214255).

Eligible applicants must be enrolled as a full-time undergrad student with an expected graduation after December 2023 and authorized to work in the US. Accepted students will receive a modest stipend.

Contact: Richard Koppenaal ( [email protected] )

Website: mskcc.org/QSURE

RTI International

RTP, NC; Washington DC, or remote Positions: 3 Type of Students: Rising Junior (undergraduate) or Rising Second Year Graduate (non PhD) Deadline: February 3, 2023

The RTI Analytics Practice Area Intern will be assigned to tasks that advance project or research efforts in the areas of clinical trials, epidemiological studies, and public health research, survey statistics, survey sampling, estimation and analysis.

Responsibilities may include:

• Reviewing protocol and data collection forms to ensure study objectives and outcomes are achievable
• Collaborating on statistical research and analysis
• Assisting in statistical quality control initiatives
• Assisting with data cleaning, analysis, and metrics tracking
• Working with a multi-disciplinary team to organize responsibilities, adhere to timelines, and prepare deliverables
• Drafting literature reviews and reviewing manuscripts

Other Info:

• Currently enrolled junior or senior undergraduate student or a recent graduate who will be within one-year postgraduation for the entirety of the internship placement
• Strong knowledge of statistical methods and theory and modeling
• Proficiency with programming languages (SAS, R) and Microsoft Office Suite
• Excellent oral and written communication skills
• To qualify, applicants must be legally authorized to work in the United States and should not require now, or in the future, sponsorship for employment visa.

Website: www.rti.org/careers (search for intern or type in job numbers 23-9439, 23-9460, or 23-9461)

Bridgewater, NJ; Cambridge, MA Positions: Multiple Type of Student: PhD candidate in statistics or biostatistics Deadline: April 2, 2023

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 R. Python is a plus.

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

New York, NY Positions: 1 Type of Student: Bachelor’s, master’s, or PhD in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in academic program)

We are seeing an exceptional intern to join our quantitative research team in the New York City metro area, where they will work with other researchers and developers on various research projects, including the design of novel predictive signals and the enhancement of our algorithms for prediction, trade execution, portfolio construction, and risk management. The intern will have an opportunity to meaningfully contribute to all facets of running a successful quantitative trading business and help it grow and diversify.

Depending on the portfolio manager team the intern joins, they will be directly responsible for furthering our alpha research. They will understand the economics of a fundamental domain and the corresponding insights that can be gathered from associated alternative data offerings. They will identify compelling differentiating factors, design novel predictive signals, backtest, and validate hypotheses. Over the 10-week internship program, they will have the opportunity to collaborate with senior team members to learn what it takes to be a successful quantitative researcher. Additionally, they will have the opportunity to network and socialize with peers throughout the internship.

Apply: https://bit.ly/3SOEqNm

New York, NY; Miami, FL Positions: 1 Type of Student: Bachelor’s, master’s, or PhD degree in a quantitative or technical field such as statistics, mathematics, physics, electrical engineering, or computer science (ideally with one year left in academic program)

We are seeking a highly qualified risk analyst summer intern to join our risk team. This team is responsible for helping portfolio managers think about different dimensions of risk and help with portfolio construction decisions designed to optimize risk-adjusted returns.

The risk analyst summer intern will spend 10 weeks with the Schonfeld risk team, focusing on a quantitative risk research project related to some aspect of risk measurement and forecasting, liquidity measurement, or portfolio optimization and construction. The research project will be empirical in nature and involve the use of advanced quantitative techniques and market intuition.

Apply: https://bit.ly/3SW6O0b

We are seeking a highly qualified risk data science summer intern to join our risk team. This team is responsible for helping portfolio managers use real-world data as part of their investment process and helping managers think about different dimensions of risk.

The risk data science summer intern will spend 10 weeks with the Schonfeld risk team, focusing on a data science research project related to the use of real-world data in the investment process. The research project will be empirical in nature and involve the use of quantitative techniques and market intuition. The intern will work alongside data scientists and engineers to ingest new data sources, develop a deep understanding of specific data sets, and use the data to better understand the companies and economies we invest in.

Apply: https://bit.ly/3FDMtcS

Soflytics Corp – Rguroo

Remote Positions: 2 Type of Student: Undergraduate or graduate student in statistics or related field Deadline: February 28, 2023

Rguroo is the flagship product of Soflytics Corp, specially developed for teaching statistics. We seek students interested in statistics education with good technical writing and communication skills.

A successful candidate will have the knowledge of (or would be willing to learn ) R-Markdown and the statistical software Rguroo. Knowledge of R is a plus but not required.

• Currently enrolled as a student at an accredited college/university
• Available for at least five hours per week
• A minimum GPA of 3.0 is preferred
• Self-management skills

Apply: https://rguroo.com

College Station, TX Positions: 1–3 Type of Student: PhD student in statistics, biostatistics, econometrics, or a closely related field Deadline: February 28, 2023

Job duties may include learning how to use and 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.

• Must have completed at least three years of graduate course work
• Good statistical, technical writing, and communication skills
• 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.

StataCorp is an affirmative action employer—minorities/females/veterans/disability.

Apply: www.stata.com/internships

StataCorp LLC

College Station, TX Positions: 1-3 Type of Student: PhD Deadline: February 28, 2023 StataCorp’s summer internships offer the opportunity for students to learn the inner workings of statistical software development by working closely with StataCorp’s professional staff at its campus in College Station, TX. Statistical software development is a challenging and rewarding career, ideal for those with a graduate education in biostatistics or a related field and those with a keen interest in using their problem-solving skills to produce commercial software for use by all types of researchers, from medical professionals to leaders in finance.

Job duties may include learning how to use and program in Stata; collaborating on projects suitable for publication in the Stata Journal; creating support materials; and assisting in adding new features to Stata in the area of biostatistics, statistics, or econometrics along with testing and documenting those features.

Contact: Kristen Herring

Website: www.stata.com/internships

Susquehanna International Group

Bala Cynwyd, PA Positions: 10 Type of Student: Graduate, PhD, postdoc Deadline: April 1, 2023

Susquehanna International Group’s quantitative research internship offers you the opportunity to see the impact of your research directly while working right on one of our trading floors. With our team of quants, traders, and developers, you’ll explore applications of probability, statistics, stochastic optimization, and numerical analysis to real-world problems in the financial markets.

During the 10-week summer internship at our headquarters, you will gain exposure to real projects in proprietary trading as you collaborate with a quantitative research mentor. Our quant team consists of PhD-level researchers who are dedicated to the data-driven development and improvement of our trading models. You will also participate in an educational program that offers insight into the world of finance. Included in the program are lectures on the industry and small group sessions with our tenured researchers that focus on the mathematical puzzles we work on solving every day.

• Students in their fourth or fifth year of their PhD program (or master’s students graduating in 2024) studying in a quantitative field such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
• Exceptional mathematical problem-solving skills
• Solid communication skills, both in the ability to understand others and to make yourself clearly understood
• Strong, practical computing skills; a specific language proficiency is less important than your ability to get computers to accomplish tasks efficiently and reliably
• Experience working on in-depth research projects

Apply: https://bit.ly/3U0ztCv

Takeda Pharmaceuticals

Cambridge, Massachusetts/ Virtual Positions: Multiple Type of Student: PhD or Master candidates in biostatistics, statistics, or related disciplines Deadline: March 15, 2023

Takeda is a research-based global pharmaceutical company and one of the global leaders in the pharmaceutical industry. Takeda research and development uses science and innovation to improve people’s lives in therapeutic areas such as oncology, rare diseases, neuroscience, and gastroenterology, with targeted investments in plasma-derived therapies and vaccines.

During the 10-12 week summer internship program at Statistical and Quantitative Science (SQS) department, the interns will work closely with experienced industry statisticians/data scientists/programmers on a variety of topics related to design and analysis of clinical trials, preclinical research and/or programming related projects.

Topics include but not limit to Bayesian methods, innovative trial designs, RWD/RWE, artificial intelligence/machine learning and data science.

At the end of the internship program, interns will give a presentation summarizing their work and may have the opportunity to summarize their work in a peer-reviewed publication.

Candidates must be enrolled in a PhD/MS biostatistics, statistics, or related program. For PhD level project, PhD candidates must have passed qualification exams and three years or more of training post-bachelor’s degree is preferred.

Apply: Email your résumé and cover letter to [email protected] .

Contact: [email protected] .

Thomas Jefferson University Division of Biostatistics

Philadelphia, PA Positions: 3 Type of Student: Undergraduate (junior or senior preferred), master’s Deadline: February 15, 2023

Jefferson’s Division of Biostatistics will sponsor up to three students as summer interns. Interns 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 reports 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 may be current students or recent graduates and should have interest in pursuing a career in (bio)statistics, data science, or similar quantitative field with a focus on the biomedical sciences.

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/statistical programming.

For graduate students (or those holding a graduate degree), their degree should be in biostatistics, statistics, computer science, or a similar quantitative field.

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

Apply: https://bit.ly/3U23cv2

Contact: Constantine Daskalakis

Website: https://bit.ly/3sJKz2V

Hartford, CT; St. Paul, MN; Remote Positions: 35 Type of Student: Graduate Deadline: March 31, 2023

The goal of the Data Science Leadership Development Program internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization.

As an intern, you will be exposed to a challenging professional work experience in data science, with planned activities giving you insight into the community at Travelers and the many ways we solve business problems using cutting-edge statistical and analytical techniques. You will assist in designing, developing, and programming methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources and generate actionable insights and solutions for client services and product enhancement.

With many company-wide events such as an intern symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work with fellow interns to develop and present solutions to relevant business and data science topics.

The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance.

Travelers offers a hybrid work location model designed to support flexibility. Some positions may be 100 percent remote and include a combination of mobile work and/or work from your primary residence.

Intern duties will vary based on the specific assignment within one of our research groups, including the following:

• Bond & Specialty Insurance
• Business Insurance Research & Development
• Claim Business Intelligence & Analytics
• Personal Insurance Research & Development
• Other departments, including artificial intelligence and emerging technologies

Work includes the following:

• Providing recommendations on projects that deal with data science–related concepts
• Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business
• Identifying, integrating, and structuring complex data flows
• Identifying new opportunities for analytic solutions
• Validating, manipulating, and performing data analysis tasks
• Providing qualitative and quantitative data support to ensure accuracy of metrics
• Pursuing a master’s or PhD degree in statistics, mathematics, or data science
• Applied statistical knowledge and experience solving “real-world” problems
• Demonstrated ability to communicate technical concepts to a nontechnical audience
• Experience with a programming language (Python, R, SAS, etc.)
• Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results
• Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships, and exploring alternative solutions to support sound decision-making
• Ability to remain energized and focused in the face of ambiguity, change, or strenuous demands
• Proven customer service skills with the ability to provide service excellence to internal or external clients
• Demonstrated track record of self and social awareness, empathy, and the balance of confidence and humility
• Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude
• Capability of exercising sound judgment, making decisions, and committing to a position
• Proven capacity to work with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives
• Strong relationship management skills, including the ability to seek out, build, foster, and maintain productive relationships, networks, or alliances to meet goals and achieve results
• Ability to work together in situations when actions are interdependent and a team is mutually responsible for producing a result
• Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn

Apply: https://careers.travelers.com (search for DSLDP)

University of Texas Medical Branch Summer Institute in Biostatistics and Data Science

Galveston, TX Positions: 20 Type of Student: Current undergraduate student majoring in mathematics, statistics, biology, or other science who has an interest in quantitative methods. US citizenship or permanent resident status is required. Deadline: March 31, 2023

The Summer Institute in Biostatistics and Data Science is an intensive seven-week program (June 12 to July 28, 2023) designed to expose undergraduate students to the exciting opportunities offered by a career in biostatistics/data science and encourage them to pursue graduate study in those fields. This program is designed to expose undergraduates to the use of quantitative methods for biological, environmental, and medical research.

Students will earn college credit for a course in biostatistics, learn statistical software packages, attend seminars on biostatistical topics and research, participate in professional development workshops, and take part in a collaborative research project with other students mentored by faculty members both in basic science/clinical research and biostatistics. At the annual symposium, students will prepare and deliver a polished poster presentation that reports on their research.

Applicants must be a US citizen or permanent resident. Preference will be given to members of an under-represented group in graduate education (Black, Hispanic/Latino, American Indian/Alaskan Native, Pacific Islander, or multiracial/biracial), a first-generation college student (neither parent nor legal guardian has a bachelor’s degree), a low-income student as defined by the US Department of Education, or a disabled student according to the definition of the Americans with Disabilities Act of 1990 and Section 504 of the Rehabilitation Act of 1973.

Travel to Galveston and a living stipend (including lodging and meals) are provided.

Apply: https://redcap.utmb.edu/surveys/?s=HTCDJPYRAK

Contact: Heidi Spratt

Website: https://bit.ly/3WieJaW

US Food and Drug Administration, Center for Drug Evaluation and Research, Office of Biostatistics

Silver Spring, Maryland Positions: Multiple Type of Student: Graduate students with strong background in biostatistics or statistics; completion of doctoral prequalifying exams preferred Deadline: March 1, 2023

The Office of Biostatistics (OB) in the Center for Drug Evaluation and Research (CDER) at the US Food and Drug Administration (FDA) 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 starting in May 2023 and ending by September 1, 2023.

Interns will engage in research projects on topics relevant to OB scientific needs. They will gain hands-on experience with regulatory research projects under the guidance of an expert OB mentor, using real or simulated 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, patient experience data, 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 40 hours per week at our headquarters in Silver Spring, Maryland, with their mentor and cohort. Participants may be able to conduct offsite training on a temporary basis while the mentor and FDA staff are working offsite because of the national COVID-19 public health emergency.

As part of the internship program, interns will prepare a written report and 30-minute presentation summarizing the 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. Due to requirements for issuance of an official FDA identification card, individuals selected for participation 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 1, 2023. 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.

• Solid statistical background
• Strong problem-solving skills
• Strong computational skills
• Experience with SAS and/or R
• Proficiency with MS Office
• Interpersonal and teamwork skills
• Demonstrated creativity and innovation

Apply: Send CV and cover letter to [email protected] with APPLICATION ORISE 2023 in the subject line. If you have a question, use QUESTION ORISE 2023 as the subject.

Zoetis Inc.

Kalamazoo, Michigan Positions: 1 Type of Students: MS, PhD Deadline: February 21, 2023 The summer intern will obtain first-hand knowledge of diagnostics statistics and the design and analysis of non-clinical studies for the progression of products within research and development’s industry-leading portfolio in veterinary medicine. The intern will work alongside the statistics team and get ample opportunity to showcase and refine their programming and data analysis skills. The intern may also have the opportunity to research and implement new methods.

Internship Summary: Students will participate in projects involving statistical analysis, related data review and programming tasks, and other statistical research related to veterinary medicine.

Internship Job Duties:

• Assist project statisticians with analyses, programming, and study report reviews.
• Attend team meetings and other project meetings to get a good understanding of the statistician’s role.
• Under the supervision of a project statistician, perform simulation and/or literature review on selected topics.
• Work on programming simplifications/efficiencies under the guidance of the statistics team.

Internship Qualifications:

• MS or PhD in Statistics or a related field.
• Knowledge of data handling and statistical analysis programming in SAS, JMP, or R.
• Knowledge of experimental design, linear mixed models, and regression.
• Excellent oral and written communication skills.

Apply online at https://zoetis.wd5.myworkdayjobs.com/en-US/zoetis/job/Kalamazoo—Downtown-Portage-Street/Statistics-Intern_JR00012284

Website: https://www.zoetis.com/our-company/our-story/about-us

This has been updated as of January 23, 2023.

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