EMD Serono aims to 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, ultimately to help create, improve and prolong lives with innovative medicines.
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.
- Demonstrated ability to leverage genAI tools and techniques for extracting features from text in a commercial context.
- Prior experience with marketing mix models (especially in pharma).
- Solid business acumen and ability to prioritize high-impact problems aligned with strategic objectives.
- Experienced in mentoring and guiding junior data scientists in advanced techniques and best practices.
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.
- 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.
- Deploy Python-based machine learning models in production using containers and/or shell scripting.
- Leverage genAI tools and techniques for extracting features from text in a commercial context.
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).
- External applicants must be eligible to work in the US.
- Proven ability to collaborate effectively across Commercial, Medical, and IT teams.
- Strong communication skills with the ability to translate analytical findings into actionable recommendations.
