Sr. Associate Scientist-1

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 Senior Associate Scientist I, PM - Quantitative Biomarker Sciences to join our team in Hyderabad. In this role, you will support quantitative bioinformatics activities including data analysis, data operations and quality control, visualization tools, pipeline automation, and cross-study data integration. You will implement well-defined analytical requests, maintain data and results viewers, support AI-assisted code development, and contribute to scalable data science solutions that accelerate biomarker research and decision-making. When & where: Hyderabad (Hybrid) Discover your role: Support figure and analysis updates, including generating outputs with different subsets, groupings, labels, color palettes, and formatting while maintaining analytical integrity. Implement and optimize automated data processing pipelines, perform routine quality control checks, and document run parameters, versions, and deviations. Conduct data QC and results QC activities, generate validation summaries, and route identified issues for resolution. Refresh and maintain RMarkdown, Quarto, or Shiny-based data viewers for single-study and cross-study data exploration. Support cross-study database integration activities, including data collation, variable mapping, identifier harmonization, ETL validation, and data ingestion. Generate balanced Olink randomization layouts using approved algorithms and validate balance metrics before downstream execution. Maintain and enhance reusable AI-assisted coding libraries, prompts, snippets, and development standards for common analytical activities. Collaborate with scientists, statisticians, bioinformaticians, and cross-functional teams to ensure high-quality, reproducible analyses and data delivery. This role requires: Bachelor's or Master's degree in Bioinformatics, Computational Biology, Statistics, Computer Science, Life Sciences, or a related quantitative field. Experience with open-source programming languages and tools such as R, R Shiny, Python, and Bash. Experience working with version control systems such as Git. Familiarity with AI-assisted development platforms such as Claude Code and other AI tools. Understanding of statistical modeling fundamentals, including linear models, logistic regression, survival analysis concepts, and multiple testing awareness. Strong attention to detail with a quality control and validation attitude.