Bristol Myers Squibb is looking to advance understanding of diseases and interventions through real-world evidence generation using epidemiology, biostatistics, and artificial intelligence (AI)
Requirements
- 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
- AI or machine learning expertise is advantageous
- Strong academic record with demonstrated research experience
- Ability to work independently as well as collaboratively in a cross-functional and multi-disciplinary setting
- Excellent written and verbal communication skills, with the ability to clearly organize and present ideas to varied audiences
Responsibilities
- Conceptualize, execute, and communicate findings from diverse research projects through rotations from therapeutical areas to data sourcing and strategy
- Apply AI-enabled analytics and real-world evidence strategies in the pharmaceutical setting
- Expand epidemiologic and statistical expertise, refine digital skills, and tackle meaningful research assignments
- Analyze observational data in the areas of pharmacoepidemiology, outcomes research, or market research
- Support regulatory submissions, health technology assessments, and clinical trial strategies using real-world evidence powered by AI tools and approaches
- 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
- Drive robust and effective evidence generation tactics
Other
- U.S. citizenship or permanent residency required
- 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
- Ability to work independently as well as collaboratively in a cross-functional and multi-disciplinary setting
- Excellent written and verbal communication skills, with the ability to clearly organize and present ideas to varied audiences
- Travel requirements not specified, but may be required for field-based and remote-by-design roles
