Responsibilities
- Translate business needs into analytical plans delivering actionable insights; communicate advanced analytics to inform decisions.
- Collaborate with cross-functional teams (market research, forecasting, commercial analytics, data science, customer engagement, data strategy, population health, competitive insights, marketing ops, medical/clinical).
- Analyze data across disparate sources (claims/EMR, DDD, etc.) to develop insights supporting commercial strategies.
- Apply advanced analytics, including GenAI, to enhance organizational capabilities.
- Contribute to experiments (idea generation/incubation/experimentation) with tangible, measurable business improvement criteria.
- Derive actionable insights from multiple data sources; develop clear data stories for stakeholders.
- Lead and mentor data scientists/business analysts (on/off-shore) in analytics, modeling, and data visualization best practices.
Qualifications
- BS (or equivalent) in Data Science, Math, Economics, CS, Statistics, Decision Science, Marketing, Engineering, or Public Health (required).
- MBA/MS/PhD (preferred).
- 5+ years delivering complex analytical projects in pharma/biotech/consulting/healthcare.
- Claims/EMR mining and healthcare datasets experience with demonstrated actionable commercial insight.
- Programming ability and data science foundation; ML/AI/NLP experience is a plus.
- Knowledge of ML and descriptive algorithms using Python, R, SAS, SQL (etc.).