Principal Scientist - Quantitative Translational Scientist

About the role

The Precision Medicine Quantitative Biomarker team (PMQBS) at Regeneron is seeking a Principal Scientist with a blend of deep biomarker and translational-science expertise coupled with advanced computational and analytical skills. This role focuses primarily on the Oncology portfolio and encompasses exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data.

Responsibilities

• 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.

Requirements

• 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.
• Knowledgeable of structured data and data mapping for systems integration, data provisioning, and consumption.

Qualifications

• Minimum of a PhD with 2 years of relevant industry experience in quantitative fields such as Computer Science, Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Data Analytics, Biostatistics.
• Masters with 5 years of relevant industry experience in the same fields.
• A working understanding of Clinical trials is a strong plus.