Role Summary:

Regeneron's Data Enablement and Analytics (DEA) team within the Analytical & Biological Mass Spectrometry (ABMS) group is seeking a Data Scientist to design, develop, and maintain scalable data platforms and software solutions that enable automated, reliable Liquid Chromatography-Mass Spectrometry (LC-MS) analytical data pipelines — from instrument-generated raw data to decision-ready insights. This role operates at the intersection of data engineering, software development, and LCMS–based analytics, supporting biotherapeutic drug development programs across diverse modalities and stages of development.

Your work will enable scientists and leadership to more efficiently access, analyze, visualize, and act on ABMS data, increasing organizational capacity, reliability, and operational efficiency to help advance Regeneron’s preclinical and clinical programs.

As a core contributor to ABMS data solutions, you will collaborate closely with DEA team members, ABMS laboratory scientists and managers, IT solution partners, and other DEA teams across the Product Analytics & Process Development (PAPD) organization. The ideal candidate is comfortable operating in an evolving, greenfield environment.

Key Responsibilities:

• Design, develop, and maintain scalable, automated data pipelines that integrate LC-MS analytical workflows from raw data acquisition through cloud storage, processing, structured archival, and visualization.

• Design, build, and optimize ETL/ELT workflows, data integrations, and APIs to enable seamless interoperability across heterogeneous systems (e.g., LC-MS instruments, LIMS, SDMS, data processing software, and enterprise data stores).

• Partner with IT and DEA teams to design, deploy, and manage data infrastructure (e.g., data lakes, data warehouses) for robust data ingestion, processing, and storage.

• Drive platform reliability and performance through proactive monitoring, observability practices, and continuous improvement.

• Contribute to ABMS data strategy, architecture, and governance by establishing standards for data quality, code quality, compliance, accessibility, and platform reliability; support adoption through documentation, training, and bestpractice guidance.

• Stay current with emerging technologies and evaluate innovative approaches in data engineering, scientific informatics, and operational analytics.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, Data Science, Bioinformatics, Computational Biology, Computer Engineering, Information Systems, or a related quantitative discipline.

• 0–5 years of hands-on experience in data engineering, scientific data infrastructure, or a closely related technical role.

• Proficiency in Python and SQL; demonstrated ability to write production-quality code for data pipelines, data/file parsing, and automated workflows, apply software engineering best-practices such as version control, testing, documentation, and code review.

• Experience developing APIs, ETL/ELT pipelines, or data access layers to connect backend systems with analytical and visualization tools.

• Experience with relational database design and building structured data stores from semi-structured or unstructured scientific data.

• Experience with cloud platforms (AWS preferred), including data storage and compute services.

• Understanding of data validation, logging, and error‑handling concepts in production data pipelines.

• Strong communication skills, with the ability to translate scientific data requirements into welldocumented, maintainable technical solutions and collaborate effectively across scientific, analytical, and IT teams.

Preferred Qualifications:

• Prior experience in biopharmaceutical, biotech, or life sciences industry, particularly within an analytical laboratory environment.

• Familiarity with mass spectrometry raw data and processed data formats.

• Familiarity with LC-MS software ecosystems (e.g., Skyline, Lab Key Panorama, Protein Metrics Byosphere, Genedata Expressionist, or Waters UNIFI/Empower).

• Familiarity with Laboratory Information Management System (LIMS), Scientific Data Management System (SDMS), and Electronic Lab Notebooks (ELN) platforms (e.g., Benchling, Nu Genesis, and IDBS), including API integration or workflow configuration.

• Familiarity with workflow orchestration tools (e.g., Nextflow or similar).

• Familiarity with shell scripting (e.g., Bash) and configuration formats such as JSON.

• Experience with containerization technologies such as Docker for packaging and deploying data pipelines.

• Experience building data connectors or API integrations for visualization platforms (e.g., Power BI, Spotfire, and Tableau).

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter.
Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.

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, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually)

$93,900.00 - $153,300.00