Principal Scientist - Quantitative Translational Scientist

About the role

The Regenerons Precision Medicine Quantitative Biomarker team (PMQBS) seeks 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, encompassing exploratory analyses and visualization of omics, EHR, wearable sensor, imaging, and other biomarker data. The individual will collaborate with internal and external groups to ensure data integrity, best practices for analytics and data visualization, and offer strategic insights to drive Precision Medicine objectives.

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 quantitative fields such as Computer Science, Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Data Analytics, Biostatistics.
• A working understanding of Clinical trials is a strong plus.

Skills

• Statistical modeling/regression
• Machine learning
• Data integration/blending techniques
• Cloud platform implementation (AWS, GCP, Azure)
• Linux and/or cloud environments
• Shell scripting and notebook-based workflows
• Structured data and data mapping
• Version control and AI coding assistants
• Statistical frameworks, hypothesis testing, modeling approaches, power/sample-size analyses
• Scalable workflows
• Data cleaning, integration, and visualization standards

Benefits

• Annual bonuses or other incentive plans
• Equity awards
• Pension or retirement benefits
• 401(k) company match
• Health and wellness programs
• Fitness centers
• Insurance benefits (medical, dental, vision, life and disability)
• Paid time off
• Family support benefits

Pay

$128,600.00 - $210,000.00 annually

Schedule

Full-time