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Tier-1 employer, metro location, mid-level generalist data role, and broad skillset increase competition.
Core data science skills transfer across industries, though pharma/commercial analytics experience is preferred.
Explicit three-year requirement plus mandatory Python/SQL and domain experience narrows candidate pool.
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Support analytics and data science projects across commercial use cases in the Gen Med portfolio.
Assist in data preparation, feature engineering, and development/testing of predictive models under guidance of senior data scientists.
Maintain and update code, dashboards, and analytical assets in Python/SQL environments, and contribute to insight generation for business stakeholders.
Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, or related quantitative field.
3 years of experience in analytics, data science, or related roles.
Working knowledge of Python and SQL.
Attention to detail with ability to deliver high-quality, accurate work.
Operates well under guidance, contributing to data science projects within commercial or healthcare contexts.
Familiar with predictive modeling, experimentation, and commercial analytics methods, particularly in pharma or life sciences.
Experienced in collaborative environments involving cross-functional teams and senior stakeholders.