Career in Regeneron as Scientist - Precision Medicine Quantitative Biomarker Sciences

Regeneron pushes the boundaries of scientific discovery and accelerates drug development using our proprietary technologies, such as VelociSuite®, which produces optimized fully human antibodies and new classes of bispecific antibodies. We are shaping the next frontier of medicine with data-powered insights from the Regeneron Genetics Center® (RGC) and pioneering genetic medicine platforms, enabling us to identify innovative targets and complementary approaches to potentially treat or cure diseases.

Post : Scientist - Precision Medicine Quantitative Biomarker Sciences

Job Description
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.

Candidate Profile
• 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.

Additional Information
Experience : 4+ years
Qualification : Degree in Bioinformatics, Computational Biology, Computer Science, Life Sciences
Location : Hyderabad, Telangana
Industry Type : Pharma/ Healthcare/ Clinical research
Functional Area : Research & Preclinical Development
End Date : 30th September 2026