Director Real World Data Scientist (Billerica MA)

Work Your Magic with us! Start your next chapter and join EMD Serono.

Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet.

That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US.

Your Role:

The Director is a senior individual contributor and scientific authority responsible for shaping how real-world evidence is generated and used to inform high-impact development and regulatory decisions. This role combines deep statistical and quantitative expertise with strong scientific judgment to define key questions, evaluate methodological choices, and ensure outputs are credible, defensible, and decision-grade. The Director plays a critical role in identifying methodological gaps, advancing approaches, and integrating perspectives across disciplines.

Key Responsibilities:

• Scientific & Strategic Leadership
• Define key scientific questions underpinning evidence strategies.
• Provide leadership on RWE approaches supporting development and regulatory decisions.
• Serve as a recognized scientific authority on complex methodological topics.
• Identify methodological gaps, risks, and opportunities, and define pragmatic forward paths.
• Methodological Expertise
• Critically evaluate study designs, analytical strategies, and data sources.
• Apply deep expertise in statistical theory, bias, confounding, causal inference, and quantitative modeling.
• Assess whether methodological choices are fit-for-purpose, transparent, and scientifically defensible.
• Guide complex methodological decisions involving multiple sources of evidence and competing analytical options.
• Decision Enablement
• Translate complex analysis into high-impact, decision-relevant insights.
• Shape evidence used to inform critical questions such as disease characterization, comparator strategy, endpoint feasibility, external control design, and patient population definition.
• Influence how evidence is generated and used in high-stakes decisions across programs.
• Innovation, Methods & Data Integration
• Evaluate emerging methodologies, technologies, and data paradigms for relevance and impact.
• Evaluate and guide how real-world data sources are selected, structured, and interpreted to support complex evidence needs.
• Apply deep understanding of data-generating processes and data limitations to inform methodological choices.
• Shape how data is made accessible, interpretable, and usable for evidence generation across teams.
• Provide scientific input into data pipelines, transformations, and analytical workflows to ensure they align with study needs and methodological rigor.
• Partner with data science and engineering functions to ensure data infrastructure supports high-quality, scalable, and reproducible analysis.
• Integrate innovations where they meaningfully improve rigor, efficiency, or interpretability.
• Cross-Functional Collaboration
• Partner across clinical development, biostatistics, regulatory, medical, HEOR, and data science.
• Act as a bridge across disciplines, aligning scientific perspectives and decision needs.
• Influence without authority in a complex matrix environment.
• External Engagement
• Engage externally to support scientific credibility and methodological…