Senior Scientist, Translational Biomarkers & AI Tools

Regeneron; Armonk (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Regeneron is seeking a Senior Scientist to join the Precision Medicine Quantitative Biomarker Team in the United States. The role focuses on driving Translational Medicine initiatives that accelerate biomarker discovery and shape clinical development strategies across internal medicine.

The successful candidate will design and implement multi-omics analyses, develop scalable pipelines, and lead scientific software and AI tools for data interpretation, while mentoring junior scientists.

Qualifications

• PhD in molecular biology, bioinformatics, computational biology or related field required.
• 0-2 years post-doctoral or industry experience.
• Proven biomarker and translational-science leadership track record.
• Proficiency in statistical modeling, ML, and multi-omics data integration using R and Python.
• Experience implementing scalable cloud workflows (AWS, GCP, or Azure).
• Ability to communicate complex science to diverse stakeholders.

Responsibilities

• Design and oversee exploratory analyses of multi-modal data to generate actionable insights.
• Develop scalable, long-term pipelines and automation for biomarker discovery and clinical development.
• Lead development of scientific software and AI-driven tools for querying, visualizing, and analyzing data.
• Coordinate cross-functional projects with scientists to design and interpret analyses.
• Ensure robustness and reproducibility of analyses performed in-house or by vendors.
• Prepare and deliver data visualizations, manuscripts, reports, and presentations.
• Lead matrixed teams and mentor junior scientists to foster collaboration and rigor.

Education

PhD in Molecular Biology / Bioinformatics / Computational Biology

Tools

R

Python

Claude Code

Job description

Regeneron is seeking a Senior Scientist to join the Precision Medicine Quantitative Biomarker Team in the United States. The role focuses on driving Translational Medicine initiatives that accelerate biomarker discovery and shape clinical development strategies across internal medicine.

The successful candidate will design and implement multi-omics analyses, develop scalable pipelines, and lead scientific software and AI tools for data interpretation, while mentoring junior scientists.