Senior Scientist Translational Epidemiology

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Position summary:

The Senior Scientist is a key member of the Informatics and Predictive Sciences (IPS) Translational Epidemiology team and has two main goals.  The first 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 .

The ideal candidate will have deep expertise in the lifecycle of RWD to RWE from data creation and curation through analysis ready data delivery. The candidate will have experience working with various data sources, such as clinical trial data, electronic health record data, insurance claims data, biobank data, research consortium data, and/or omics data. The candidate must also have a demonstrated ability to view programs at a high level while simultaneously paying attention to the necessary detail.  The candidate must demonstrate the ability to actively listen, integrate input from diverse sources, and collaboratively translate clinical or business questions into data and analysis requirements resulting in a clear path forward for the project and team. The candidate will also be required to maintain a deep understanding of healthcare data, from data generation, collection and integration to its analysis and interpretation, with the opportunity to actively improve and innovate in each of those areas.

Overall responsibilities include:

• Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, and demonstrations to help the business better understand innovative solutions
• 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 with diverse backgrounds
• Collaborate with team members to meet project checkpoints and accomplish team objectives

Key competencies, skills, and attributes:

• Desire to continually learn and grow analytical skillset
• Ability to multi-task and handle numerous matrixed projects simultaneously
• Demonstrated ability to engage in effective joint problem-solving to address key challenges

Education and Experience Guidelines:

• A degree in Epidemiology, Biostatistics, Computer Science, Informatics/Management Information Systems, Mathematics, or relevant field
• Preferred prior experience in the pharmaceutical / biotechnology / healthcare / health IT industry, with hands-on experience (including time spent in post-graduate degree programs) executing observational healthcare or translational research studies, as well hands-on experience working with large real-world databases (EMR, biobanks, consortium data, etc)
• Years experienced required are as follows: PhD and 2+ years of academic / industry experience, or Master's Degree and 5+ years of academic / industry experience, or Bachelor's Degree and 7+ years of academic / industry experience.

Bristol-Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to gender identity, race, color, religion, sexual orientation, national origin or disability.

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