At EMD Serono, data drives everything we do to bring innovative medicines to patients faster. As a Lead Data Scientist, you will shape commercial and medical strategies by analyzing complex datasets and applying advanced analytics and machine learning to generate actionable insights that optimize decisions, uncover opportunities, and improve patient outcomes.
Requirements
- Strong expertise in supervised/unsupervised learning, causal inference, hypothesis testing, scalable ML pipelines, and feature engineering.
- Proficiency in Python (pandas, scikit-learn), SQL, Git, Linux, AWS; experience with large healthcare datasets (claims data a plus) and parquet files.
- Experience deploying Python-based machine learning models in production using containers and/or shell scripting.
- Prior experience with marketing mix models (especially in pharma).
- Demonstrated ability to leverage genAI tools and techniques for extracting features from text in a commercial context.
Responsibilities
- Design, validate, and interpret supervised (regression, classification) and unsupervised models (clustering, dimensionality reduction) to drive decision-making and identify new opportunities.
- Apply causal inference to experimental and observational data to optimize strategy and resource allocation.
- Build scalable AI/ML pipelines for large, high-dimensional datasets.
- Mentor junior data scientists and foster a culture of excellence.
- Leverage deep knowledge of US healthcare and pharma commercial landscapes, including claims, EMR data, to deliver impactful solutions.
- Translate complex analytical findings into clear, actionable business recommendations for diverse stakeholders.
- Collaborate with Commercial, Medical, and IT teams to identify high-impact problems and deliver analytics solutions aligned with business goals.
Other
- Master’s degree in Statistics, Data Science, Mathematics, Physics, Econometrics, Operations Research, a related quantitative field, or equivalent work experience.
- 4+ years of experience as a data scientist in a commercial setting (pharma preferred).
- US healthcare and pharma commercial expertise strongly preferred.
- Solid business acumen and ability to prioritize high-impact problems aligned with strategic objectives.
- Strong communication skills with the ability to translate analytical findings into actionable recommendations.
