Senior / Lead Data Scientist
Merck Group.com
142k - 213k USD/year
Office
Boston, Massachusetts, US, 02210
Full Time
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:
At EMD Serono, data drives everything we do to bring innovative medicines to patients faster. As a Senior/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.
Key Responsibilities
- Collaborate Across Teams: Partner with Commercial, Medical, and IT teams to identify high-impact problems and deliver analytics solutions aligned with business goals.
- Lead Advanced Analytics: Design, validate, and interpret supervised (regression, classification) and unsupervised models (clustering, dimensionality reduction) to drive decision-making and identify new opportunities.
- Causal Inference Expertise: Apply causal inference to experimental and observational data to optimize strategy and resource allocation.
- Scalable AI/ML Solutions: Build scalable AI/ML pipelines for large, high-dimensional datasets.
- Mentorship and Leadership: Mentor junior data scientists and foster a culture of excellence.
- Healthcare Expertise: Leverage deep knowledge of US healthcare and pharma commercial landscapes, including claims, EMR data, to deliver impactful solutions.
- Communication and Influence: Translate complex analytical findings into clear, actionable business recommendations for diverse stakeholders.
Who You Are
Minimum Qualifications:
- 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).
- 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.
Preferred Qualifications:
- 6 or more years of work experience as a data scientist in a commercial setting (pharma preferred) with a Master’s degree, or
- 4+ years with a PhD degree.
- Prior experience with marketing mix models (especially in pharma).
- US healthcare and pharma commercial expertise strongly preferred.
- Demonstrated ability to leverage genAI tools and techniques for extracting features from text in a commercial context.
- 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.
- Proven ability to collaborate effectively across Commercial, Medical, and IT teams.
- Experienced in mentoring and guiding junior data scientists in advanced techniques and best practices.
Location: Seaport MA, or remote if necessary (must be on EST)
Pay range for this position: $142,100 - $213,200
Our ranges are derived from several sources, and largely reliant on relevant industry market data. Should we decide to make an offer, we will consider several factors, including but not limited to your location, skills, experience, career level, and other job-related factors. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; paid time off; and paid holidays; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses.
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
Senior / Lead Data Scientist
Office
Boston, Massachusetts, US, 02210
Full Time
142k - 213k USD/year
September 29, 2025