Scientist- Precision Medicine Quantitative Biomarker Sciences Full-time

Build Our Future Together

Regeneron is founded on the belief that the right idea, combined with the right team, can lead to significant transformations. Our growing global network is dedicated to inventing, developing, and commercializing medicines that change lives for those with serious diseases. In doing so, we are pioneering innovative approaches to science, manufacturing, and commercialization, as well as redefining our understanding of health.

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Scientist, Precision Medicine Quantitative Biomarker Sciences to join our team. In this role, you will support quantitative biology and bioinformatics initiatives through data analysis, data quality control, visualization tool development, pipeline automation, and cross-study data integration. You will work within established scientific and technical frameworks while collaborating with cross-functional stakeholders to generate high-quality biomarker insights that support clinical development and translational research.

When & Where

Hyderabad (Hybrid)

Discover Your Role

• Support ad hoc analysis requests and generate updated figures, visualizations, and outputs using different data subsets, groupings, labels, and formatting while maintaining statistical integrity.
• Execute and optimize automated data processing pipelines, perform routine quality control checks, and document execution parameters and outcomes.
• Conduct data and results quality control reviews, generate QC summaries, and facilitate issue resolution with appropriate stakeholders.
• Build, maintain, and publish interactive data viewers using R Shiny, RMarkdown, or Quarto templates for single-study and cross-study data exploration.
• Support cross-study database integration through data standardization, variable mapping, identifier harmonization, data validation, and ETL quality checks.
• Generate balanced Olink randomization layouts using approved methodologies and coordinate downstream sample management activities.
• Maintain reusable AI-assisted analysis assets, code libraries, prompts, and workflow documentation to improve operational efficiency and consistency.
• Collaborate with scientists, bioinformaticians, and cross-functional partners to support biomarker data analysis and reporting initiatives.

This Role Requires

• Bachelor's degree in Bioinformatics, Computational Biology, Computer Science, Life Sciences, or a related discipline. Master's degree preferred.
• 4+ years of programming and data analysis experience within biotechnology, pharmaceutical, healthcare, or life sciences industries.
• Experience working with molecular, biomarker, omics, and/or clinical trial datasets.
• Strong programming experience with R, R Shiny, Python, and Bash.
• Experience with version control systems such as Git.
• Familiarity with AI-assisted coding tools such as Claude Code and other generative AI technologies.
• Understanding of statistical concepts including linear models, logistic models, survival analysis, and multiple testing considerations.
• Strong quality control, validation, troubleshooting, and documentation skills.
• Knowledge of one or more therapeutic areas including cardiovascular, metabolic, immunology, hematology, oncology, renal, neurodegenerative, muscle and metabolism disorders, or rare genetic diseases.
• Excellent communication, collaboration, problem-solving, and organizational skills in a fast-paced research environment.
• Ability to work independently while effectively collaborating within cross-functional and global teams.
• Experience developing interactive analytical dashboards and data visualization solutions.
• Experience with data integration, database management, and ETL processes.
• Experience supporting translational research and biomarker-driven drug development programs.
• Exposure to cloud-based analytics and modern bioinformatics workflows is advantageous.