Biostatistics, Intern

Bristol Myers Squibb

Job Summary

This 6-month Biostatistics Student Internship focuses on emulating target trials using real-world data. The intern will review literature, formulate hypothetical trials, apply statistical methods to estimate causal effects using real-world datasets like CIBMTR or Flatiron, and present findings to the team. The goal is to gain insights into observational analyses and provide recommendations for future applications.

Must Have

  • Completing a Master degree or Ph.D. in statistics, data sciences, epidemiology or similar area with a strong focus in statistics
  • Solid foundation in statistics
  • Proficiency in R and/or SAS
  • Ability to critically review scientific literature
  • Good communication and presentation skills
  • Teamwork and adaptability
  • English skills are mandatory
  • Review literature on target trial emulation and its applications
  • Identify a relevant clinical question and formulate a hypothetical target trial
  • Use real-world datasets to emulate the target trial
  • Apply statistical methods to estimate causal effects
  • Compare results with published studies and discuss strengths and limitations
  • Document the process and present findings to the Biostatistics/Data Science team

Good to Have

  • Knowledge on causal inference is welcomed
  • Python is a plus
  • Any other European languages is a strong plus

Perks & Benefits

  • Benefits and Wellbeing (Global platform and benefits for physical, mental, financial and social wellbeing)
  • Recognition (Global platform to reward your achievements)
  • Generous time off to rest and recharge
  • Best-in-class health benefits
  • 8 People & Business Resource Groups
  • Wide variety of competitive benefits, services and programs
  • Opportunities to grow and thrive

Job Description

Life at BMS

Working with Us

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

6-months, Biostatistics Student Internship in Boudry (NE), Switzerland.

Title of Project: Emulating Target Trials Using Real-World Data: Methods and Applications

Description of the project and work required (including references)

Target trial emulation is a recent framework allowing a better approach to mimic the design and analysis of randomized controlled trials (RCTs) using observational data, and allowing a better causal inference analysis. The intern will:

  • Review literature on target trial emulation and its applications in clinical research.
  • With the support of the GBDS MMA CT team, identify a relevant clinical question and formulate a hypothetical target trial.
  • Use real-world datasets (e.g., CIBMTR or Flatiron) to emulate the target trial by specifying eligibility criteria, treatment strategies, follow-up, and outcome definitions.
  • Apply statistical methods (e.g., propensity score matching, inverse probability weighting) to estimate causal effects.
  • Compare results with published studies, if available, and discuss strengths and limitations.
  • Document the process and present findings to the Biostatistics/Data Science team.

References:

  • Hernán MA, Robins JM. Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. Am J Epidemiol. 2016;183(8):758-764.
  • Dickerman BA, et al. Comparative effectiveness of antihypertensive drugs in the real world: Emulating a target trial using electronic health records. Ann Intern Med. 2019.

Skills/Knowledge Required (technical and soft skills)

  • Completing a Master degree or Ph.D. in statistics, data sciences, epidemiology or any similar area with a strong focus in statistics
  • Solid foundation in statistics (knowledge on causal inference is welcomed).
  • Proficiency in R and/or SAS (Python is a plus).
  • Ability to critically review scientific literature.
  • Good communication and presentation skills.
  • Teamwork and adaptability.
  • English skills is mandatory, any other European languages is a strong plus

Anticipated/expected outcome of the project (how would you define a successful internship?)

A successful internship will result in:

  • A comprehensive report and presentation introducing the emulation of a target trial using real-world data to other statisticians, and also clinical colleagues.
  • Insights into the validity and limitations of observational analyses compared to RCTs.
  • Recommendations for future applications in the organization.
  • Presentation at a stat conference and potential publication, depending on the findings.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

8 Skills Required For This Role

Team Management Excel Communication Data Analytics Talent Acquisition Game Texts Data Science Python

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