Senior Scientist – Precision Medicine Full-time

Senior Scientist

Regeneron's Precision Medicine Quantitative Biomarker Team is seeking a Senior Scientist with a blend of deep biomarker and translational-science expertise coupled with advanced computational and analytical skills. Sitting within Precision Medicine, you will drive Translational Medicine initiatives that accelerate biomarker discovery and shape clinical development strategies across the entire internal medicine portfolio.

A Typical Day in the Role Might Look Like:

• As a Senior Scientist, the candidate will serve as the Precision Medicine quantitative lead to inform internal medicine clinical studies and programs using innovative analytical, computational, and translational strategies.
• The candidate will design and oversee exploratory analyses of multi-modal data—including genomic, transcriptomic, proteomic, metabolomic, clinical and other biomarker endpoints—to generate actionable insights.
• The candidate will also help develop scalable, long-term solutions (pipelines, workflows, automation) that enhance biomarker‐discovery and clinical-development efforts enterprise-wide.
• The Senior Scientist shall lead the development of scientific software for querying, visualizing, analyzing and interpreting data to advance the capabilities of the Precision Medicine department to answer scientific questions through computational means.
• The candidate will help coordinate cross-functional projects, partnering with biostatisticians, bioinformaticians, epidemiologists, mathematicians, and clinical/research scientists, as well as external collaborators.
• They will ensure the robustness and reproducibility of exploratory statistical and bioinformatic analyses performed in-house or by external vendors.
• The candidate will monitor emerging literature, technologies, and industry trends in precision medicine, genomics, and bioinformatics to propose and implement novel strategies that advance drug development.

This Role Might Be For You If You:

• Develop and perform tailored analytic methods using AI with cross-functional partners (bioinformatics, biostatistics, pharmacometrics, outcomes, imaging) to interrogate multi-modal data sets—transcriptomic, proteomic, metabolomic, wearable, and imaging endpoints.
• Partner with Molecular Profiling, RGC, and Therapeutic Area Scientists, to design and interpret analyses that impact understanding of disease biology, therapeutic mechanism of action, response prediction, etc.
• Integrate internal and external datasets; perform bioinformatic and statistical analyses that support Precision Medicine programs across all omics and clinical endpoints.
• Prepare and deliver data visualizations, manuscripts, reports, and presentations that communicate key findings to internal leadership and external collaborators.
• Lead matrixed teams and juggle multiple projects, rapidly structuring complex, unfamiliar datasets into clear clinical insights and stakeholder-ready presentations.
• Build- or oversee development of user-friendly tools using AI that give scientists seamless access to integrated biomarker results.
• Mentor junior scientists and foster a culture of collaboration, innovation, and scientific rigor within the Precision Medicine department.

To be considered for this position, you must have:

• Ph.D. in molecular biology, bioinformatics, computational biology, or a related discipline, with 0-2 post-doctoral or industry experience.
• Proven track record of leading biomarker and translational-science initiatives in cardiovascular, metabolic, or internal-medicine indications with a preference in Obesity, Cardiovascular Disease, renal disease, neurodegenerative disorders, muscle and metabolism disorders, and/or rare genetic diseases.
• Proficiency in statistical modeling, machine learning, and multi-omics data integration using R, Python, and relevant bioinformatics frameworks.
• Experience implementing scalable workflows on cloud platforms (AWS, GCP, or Azure)
• Experience with version control and AI coding assistants such as Claude Code is preferred.
• Demonstrated ability to communicate complex scientific concepts to diverse stakeholders and translate insights into clinical-development decisions.