Scientist-2

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, PM-Quantitative Biomarker Sciences to join our team. In this role, you will support quantitative biology and bioinformatics activities, including data analysis, quality control, visualization tool development, pipeline automation, and cross-study data integration. You will implement analysis requests, maintain data and results viewers, support AI-assisted code development, and collaborate with cross-functional teams to deliver high-quality biomarker and clinical data insights. When & where: Hyderabad (Hybrid) Discover your role: • Support figure and analysis updates, including creation of data subsets, labels, groupings, color palettes, and formatting changes while maintaining statistical integrity. • Implement and optimize automated data processing pipelines and perform routine quality control checks on outputs. • Generate QC summaries, validate datasets and results, and escalate data quality issues as needed. • Build, maintain, and publish RMarkdown, Quarto, or Shiny-based data viewers for single-study and cross-study data exploration. • Support cross-study database integration activities, including data standardization, variable mapping, identifier harmonization, ETL validation, and data ingestion. • Generate balanced Olink assay randomization layouts and validate balance metrics before downstream sample submission. • Develop and optimize reusable AI-assisted coding resources, prompts, and workflows using tools such as Claude Code. • Collaborate with scientists, data analysts, and cross-functional stakeholders to support biomarker data analysis and reporting activities. • Contribute to documentation, testing, validation, and continuous improvement of data analysis and automation processes. This role requires: • Bachelor's degree in Bioinformatics, Computer Science, Computational Biology, Life Sciences, or a related field. Master's degree preferred. • 4+ years of programming experience within biotechnology, pharmaceutical, healthcare, or related industries. • Experience processing molecular datasets and/or clinical trial data. • Strong programming skills in R, Python, R Shiny, and Bash. • Experience with version control systems such as Git. • Experience utilizing AI-driven coding tools such as Claude Code and other AI technologies. • Understanding of statistical modeling concepts including linear models, logistic regression, survival analysis, and multiple testing methodologies. • Strong quality control mindset with experience in validation and data review processes. • Knowledge of disease areas including cardiovascular, metabolic, immunology, hematology, oncology, renal, neurodegenerative, muscle and metabolism disorders, and rare genetic diseases. • Excellent communication, collaboration, problem-solving, and organizational skills. • Ability to thrive in a fast-paced, collaborative environment. • Advanced degree (MS or higher) in Bioinformatics, Computational Biology, Computer Science, Life Sciences, or related field. • Experience with clinical trial biomarker data analysis and visualization platforms. • Experience supporting data integration and large-scale bioinformatics workflows. • Familiarity with AI-assisted