Senior Scientist, Translational Epidemiology

The Senior Scientist is a key member of the Informatics and Predictive Sciences (IPS) Translational Epidemiology team. The first goal is to facilitate and maximize use of multi-modal RWD across therapeutic areas in support of research goals, publication plans and cross-functional internal and external collaborations. The second is to leverage business expertise to influence multi-modal data generation and data partner growth.

Key Responsibilities

• Work in a fast-paced multidisciplinary dynamic environment
• Evaluate potential external data partners to vet capacity to meet business needs
• Leverage business expertise to influence data generation and data partner growth
• Evaluate, develop, and analyze multi-modal RWD assets
• Identify opportunities for cross-functional collaboration using multi-modal RWD
• Represent the Translational Epidemiology group and its capabilities in meetings with peers
• Collaborate with team members to meet project checkpoints and accomplish team objectives

Requirements

• Degree in Epidemiology, Biostatistics, Computer Science, Informatics/Management Information Systems, Mathematics, or relevant field
• PhD with 2+ years experience, or Master's with 5+ years, or Bachelor's with 7+ years
• Experience working with clinical trial data, electronic health record data, insurance claims data, biobank data, research consortium data, and/or omics data
• Deep expertise in the lifecycle of RWD to RWE from data creation and curation through analysis ready data delivery
• Hands-on experience working with large real-world databases (EMR, biobanks, consortium data, etc)