Sr. Associate Scientist

About the Role

Regeneron is seeking a Senior Associate Scientist, PM - Quantitative Biomarker Sciences to support quantitative bioinformatics activities across biomarker studies. This role will contribute to data analysis, quality control, visualization tools, automation pipelines, and cross-study data integration efforts within established scientific and technical frameworks. The position aims to deliver high-quality analytical outputs while supporting innovation through AI-assisted workflows and open-source programming tools.

Location: Hyderabad (Hybrid)

Key Responsibilities

• Support ad hoc analysis requests, update figures, visualizations, labels, groupings, and outputs while maintaining statistical integrity.
• Implement and optimize automated data processing pipelines, documenting parameters, versions, and deviations.
• Perform data and results quality control checks, create QC summaries, and escalate issues for resolution.
• Refresh and maintain RMarkdown, Quarto, or Shiny-based data viewers using approved templates for study and cross-study exploration.
• Support cross-study database integration through data standardization, variable mapping, ETL validation, and data harmonization activities.
• Generate balanced Olink randomization layouts, validate balance metrics, and coordinate sample list submissions.
• Maintain and optimize reusable AI-assisted coding resources, prompts, snippets, and workflows to improve operational efficiency.
• Promote coding standards, testing practices, documentation quality, and scalable analytical processes.
• Collaborate with cross-functional stakeholders to support biomarker data analysis and operational excellence.

Requirements & Tech Stack

• Hands-on experience with open-source programming tools such as R, R Shiny, Python, and Bash.
• Experience using version control systems such as Git.
• Familiarity with AI-assisted development tools such as Claude Code or similar platforms.
• Understanding of statistical modeling concepts including linear models, logistic regression, survival analysis, and multiple testing considerations.

Qualifications

• Bachelor's degree with 0-2 years or Master's degree with 2-4 years in Bioinformatics, Computational Biology, Statistics, Data Science, Computer Science, Life Sciences, or a related quantitative field.
• Strong attention to detail with a quality control and validation attitude.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work effectively in a dynamic, fast-paced research environment.