Scientist- Precision Medicine Quantitative Biomarker Sciences

BioSpace; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Regeneron Hyderabad (Hybrid) seeks a Scientist in Precision Medicine Quantitative Biomarker Sciences to advance quantitative biology, data quality control, and visualization tool development. You will integrate cross-study data, automate pipelines, and deliver high-quality biomarker insights for translational research.

You will collaborate with cross-functional teams, develop interactive dashboards with R Shiny/Quarto, and contribute to cloud-based analytics and AI-assisted coding efforts.

Qualifications

• Bachelor's or Master's in bioinformatics, computational biology, computer science, life sciences, or related field.
• 4+ years of programming and data analysis experience in biotech, pharma, healthcare, or life sciences.
• Experience with molecular, biomarker, omics, and/or clinical trial datasets.
• Strong programming in R, Python, Bash; experience with R Shiny and data visualization.
• Familiarity with Git and version control; knowledge of AI-assisted coding tools (e.g., Claude Code).
• Understanding of statistical concepts (linear/logistic/survival models; multiple testing).
• Excellent communication and collaboration in fast-paced research environments.
• Experience developing interactive dashboards and data visualization solutions.
• Experience with data integration, ETL processes, and cloud-based analytics.

Responsibilities

• Support ad hoc analysis requests and generate updated figures and visualizations from data subsets.
• Automate data processing pipelines, perform QC checks, document parameters and outcomes.
• Conduct data quality reviews and facilitate issue resolution with stakeholders.
• Build, maintain, and publish interactive data viewers using R Shiny, RMarkdown, or Quarto templates.
• Support cross-study database integration through data standardization, mapping, harmonization, and ETL checks.
• Coordinate sample management and Olink randomization layouts.
• Maintain reusable AI-assisted analysis assets, code libraries, and workflow documentation.
• Collaborate with scientists, bioinformaticians, and cross-functional partners on biomarker analysis.

Skills

R

Python

Bash

Git

R Shiny

Quarto

Education

Bachelor's degree

Master's degree preferred

Tools

RMarkdown

Git

Job description

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

• Bachelors 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.

Does this sound like you?

We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process.

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.