Senior Manager, Epidemiology

Senior Manager, Epidemiology

BMS - Bristol-Myers Squibb

Warsaw, Poland

Position Summary

This job is an early to mid-career role within PS/Epidemiology whose key function is to generate epidemiology evidence in support of the overall epidemiology strategy central to the maintenance of the day-to-day signal/risk management of BMS assets in development and within the first several years after regulatory approval. It includes design and conduct of rigorous secondary data analyses, interpretation and communication of results and participation in the development of content for regulatory documents. In summary, the role is intended to support the Epidemiology Strategists contextualize and understand safety signals, risks, and pharmacovigilance concerns related to BMS interests (e.g., potential assets, assets in development, and early post-approval).

Position Responsibilities

• Actively executes the vision and operational model for the pharmacoepidemiology group and translates these to high quality pharmacoepidemiology activities
• Supports the Epidemiology Strategy Teams in their evaluation of safety signals and benefit-risk profiles of pre-approved assets and marketed drugs, by performing in-depth, complex literature reviews, complemented by designing and conducting secondary data analyses and proposing additional analyses when gaps in information are identified
• Fosters communication between the Epidemiologist and internal/external stakeholders to facilitate study/analytical design and execution
• Supports various continuous improvement activities in the science and practice of pharmacoepidemiology to better support health care providers, regulatory requests, and the health of patients using BMS products

Qualifications & Experience

Degree Requirements

• PhD or Master’s level degree in epidemiology or relevant field (may have other degrees, as well, such as MD, DVM, RN)

Experience Requirements

• Minimum of 3 years of hands-on pharmacoepidemiology or epidemiology professional experience, which may include practical work that was part of training/education
• Demonstrated proficiency in secondary data analysis design and execution
• Expertise in conducting literature searches and writing reviews addressing complex drug safety questions
• Use of at least one statistical software package, such as SAS, R, etc.
• Use of data resources, such as IHD, TriNetX, Pharmetrics, Flatiron, SEER, a plus

Key Competency Requirements

• Attention to detail along with strong scientific, analytical, and conceptual skills and the ability to reach reasoned conclusions
• Demonstrated exceptional organizational skills
• Ability to multitask and prioritize projects appropriately
• Ability to work within matrix teams
• Ability to manage timelines and quality of work, simultaneously
• Good written and oral communication skills, especially for regulatory correspondence