Real-World Data Research (RWDR) Fellowship

Bristol Myers Squibb•Princeton, NJ

4d•$34 - $37

About The Position

The RWDR fellowship program within Business Insights & Technology (BIT) is designed for early-career researchers passionate about the real-world evidence generation through the application of epidemiology, biostatistics, and artificial intelligence (AI). Fellows will explore how digital and AI-driven methods can be harnessed in analyzing large-scale real-world datasets—including electronic medical records (EMR), insurance claims, and registries—to advance our understanding of diseases and interventions. Over the two-year fellowship, participants receive a comprehensive industry overview, gaining hands-on experience in applying AI-enabled analytics and real-world evidence strategies in the pharmaceutical setting. Through direct involvement in innovative projects, Fellows will expand their epidemiologic and statistical expertise, refine digital skills, and tackle meaningful research assignments—all while becoming highly marketable for future careers at BMS RWDR or in the wider pharmaceutical industry. Fellows will conceptualize, execute, and communicate findings from diverse research projects through rotations from therapeutical areas to data sourcing and strategy. Their studies will focus on how real-world evidence, powered by AI tools and approaches, supports regulatory submissions, health technology assessments, and clinical trial strategies, ultimately driving robust and effective evidence generation tactics.

Requirements

Education: Recent graduates holding an advanced degree in data science, epidemiology, biostatistics, health economics and outcomes research (HEOR), or a related discipline, received after January 1, 2021, or by the start of the fellowship
Skills Required: Strong academic record with demonstrated research experience
Ability to work independently as well as collaboratively in a cross-functional and multi-disciplinary setting
Proficiency in programming with R or Python to support study execution
Knowledge of research design and statistical methods typically used in outcomes research and epidemiology
Ability to analyze observational data in the areas of pharmacoepidemiology, outcomes research, or market research
Excellent written and verbal communication skills, with the ability to clearly organize and present ideas to varied audiences
Citizenship: U.S. citizenship or permanent residency required

Nice To Haves

AI or machine learning expertise is advantageous

Responsibilities

Conceptualize, execute, and communicate findings from diverse research projects through rotations from therapeutical areas to data sourcing and strategy.
Focus studies on how real-world evidence, powered by AI tools and approaches, supports regulatory submissions, health technology assessments, and clinical trial strategies, ultimately driving robust and effective evidence generation tactics.

Benefits

Enhance Fellows’ research expertise and equip them for careers within biopharmaceuticals, healthcare, or public/private insurance sectors
Provide mentorship and project support from director-level leaders on assignments with RWDR stakeholders and team members
Create opportunities to connect with the wider BMS research community, including participation in seminar series, informal gatherings, and networking events
Upon successful completion, Fellows may be considered for full-time positions
Medical, pharmacy, dental and vision care.
Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP).
Financial well-being resources and a 401(K).
Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.
Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
Parental, caregiver, bereavement, and military leave.
Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
Other perks like tuition reimbursement and a recognition program.