Sr. Associate Scientist- Quantitative Biomarker Sciences

Regeneron Pharmaceuticals

Hyderabad

Ibrido

INR 600.000 - 1.200.000

Tempo pieno

7 giorni fa
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Descrizione del lavoro

Regeneron Pharmaceuticals in Hyderabad invites a Senior Associate Scientist, PM - Quantitative Biomarker Sciences to support quantitative bioinformatics activities across biomarker studies. You will contribute to data analysis, QC, visualization tools, automation pipelines, and cross-study data integration.

Working in a hybrid model, you will collaborate with cross-functional teams, implement AI-assisted workflows, and maintain reproducible analysis frameworks using open-source tools such as R,

Competenze

  • Bachelor's degree with 0–2 years or Master's degree with 2–4 years in Bioinformatics, Computational Biology, Statistics, Data Science, or related quantitative field.
  • 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.
  • 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.

Mansioni

  • Support ad hoc analysis requests and 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 elevate 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.

Conoscenze

R
R Shiny
Python
Bash
Git
AI-assisted tools
Statistics concepts
Communication
Problem-solving
Team collaboration

Formazione

Bachelor's degree in Bioinformatics/related field
Master's degree in Bioinformatics/related field

Strumenti

R
R Shiny
Python
Bash
Git
Claude Code or similar AI tools

Descrizione del lavoro

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, PM - Quantitative Biomarker Sciences to support quantitative bioinformatics activities across biomarker studies. In this role, you will contribute to data analysis, quality control, visualization tools, automation pipelines, and cross-study data integration efforts. You will work within established scientific and technical frameworks to deliver high-quality analytical outputs while supporting innovation through AI-assisted workflows and open-source programming tools.

When & where:

Hyderabad (Hybrid)

Discover your role
  • Support ad hoc analysis requests and 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 elevate 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.
This role requires
  • 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.
  • 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.
  • 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.

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.

If you have any questions, please speak with your recruiter.

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.

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.

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