Principal Scientist - Quantitative Translational Scientist

Principal Scientist

Regeneron's Precision Medicine Quantitative Biomarker team (PMQBS) is seeking a Principal Scientist with a blend of deep biomarker and translational-science expertise coupled with advanced computational and analytical skills. This role will focus primarily on the Oncology portfolio, and will encompass exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data. This position is also involved in the development of tools and dashboards for querying, visualizing, and cleaning data. The individual will work collaboratively with internal and external groups to assure data integrity, best practices for analytics and data visualization, and offering strategic insights to drive Precision Medicine objectives.

A Typical Day in the Role Might Look Like:

• Set and refine quantitative biomarker strategies across multiple programs, aligning with Precision Medicine Strategy Leads and senior stakeholders.
• Translate program objectives into testable hypotheses, analytical roadmaps, and decision criteria that inform clinical development and asset strategy.
• Architect exploratory analyses of multi-modal datasets (genomic, transcriptomic, proteomic, metabolomic, clinical, and other biomarkers) to generate actionable insights.
• Define and review statistical frameworks, including hypothesis testing, modeling approaches, and power/sample-size analyses, ensuring appropriate interpretation.
• Oversee the correct application of statistical models on integrated datasets and drive clear, decision-oriented interpretation for translational and clinical teams.
• Contribute to the vision for scalable, reproducible pipelines and automated workflows that support enterprise-wide biomarker discovery and clinical development.
• Direct the design and enhancement of computational workflows for novel biomarkers; evaluate, integrate, or build tools as needed.
• Provide guidance on data cleaning, integration, and visualization standards to enable robust, interpretable analyses.

This role may be for you if you:

• Proficient in statistical modeling/regression, machine learning, and related data integration/blending techniques.
• Experienced in implementing scalable workflows on cloud platforms (AWS, GCP, or Azure)
• Experienced in Linux and/or cloud environments, shell scripting, and notebook-based workflows.
• Knowledgeable of structured data and data mapping for systems integration, data provisioning, and consumption.
• Experience with version control and AI coding assistants such as Claude Code is strongly preferred.
• Knowledgeable of structured data and data mapping for systems integration, data provisioning, and consumption.

To be considered for this role, you must have at minimum a PhD with 2 years, or Masters with 5 years of relevant industry experience in one of the following or otherwise related quantitative fields: Computer Science, Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Data Analytics, Biostatistics. A working understanding of Clinical trials is a strong plus.