Regeneron · 1 day ago
Staff Engineer, Data Science (PMPD)
Regeneron is a company focused on advancing bioprocess engineering through digitalization. They are seeking a Staff Engineer in Data Science to develop and implement models for bioprocess operations, leveraging AI/ML to enhance biologics development and manufacturing.
BiopharmaBiotechnologyPharmaceutical
Responsibilities
Develop, validate, and maintain mechanistic, hybrid, and data-driven models for cell culture and/or purification processes
Translate complex bioprocess questions into quantitative modeling strategies that inform scale-up, tech transfer, and continuous improvement
Advance PMPD’s broader data-science and digital-maturity initiatives
Collaborate with process engineers, citizen data scientists, IT, and manufacturing colleagues to coordinate modeling efforts enterprise wide
Build and deploy AI/ML-powered digital solutions on cloud-based analytics platforms
Mentor citizen data scientists and champion best practices in model development, method selection, and code quality
Explore and prototype GenAI approaches (e.g., Retrieval-Augmented Generation) to enhance knowledge management, and decision support
Qualification
Required
Ph.D. in Chemical/Biochemical Engineering, Biotechnology, Applied Mathematics, or related field with 4+ years of industrial experience OR- Master's with 7+ years
A deep mechanistic understanding of upstream and/or downstream bioprocess unit operations, scale-up/down principles, and critical quality attributes is required
A demonstrated success modeling bioprocesses via first-principles, hybrid, or data-driven (ML) methods is preferred
A strong foundation in AI/ML algorithms (regression, classification, Bayesian methods, deep learning, time-series, probabilistic modeling) is a plus
Expert programming proficiency in Python and SQL
Experience with statistical/computational tools such as JMP, SIMCA, MATLAB is helpful
Proven ability to communicate technical concepts to multidisciplinary stakeholders a must
Analytical rigor and creative problem solving
Ability to drive projects autonomously while thriving in cross-functional teams
Excellent written and verbal communication
Passion for innovation and continuous learning
Preferred
Hands-on experience with cloud analytics platforms (e.g., Dataiku, Databricks)
Strong working knowledge of Quality-by-Design (QbD) principles and statistically rigorous Design-of-Experiments (DoE) for defining design space, optimizing critical process parameters, and informing robust control strategies
Familiarity with PAT and chemometric modeling (e.g., Raman spectroscopy) for bioprocess monitoring and control
Understanding of operation research techniques such as combinatorial optimization, linear programming, mixed integer programming is a plus
Exposure to GenAI stacks (LLMs, vector databases, RAG pipelines) and multimodal techniques
Strong publication record in bioprocess modeling or AI for biomanufacturing
Benefits
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
Paid leaves (e.g., military and parental leave)
Company
Regeneron
Regeneron Pharmaceuticals specializes in the discovery, development, and commercialization of innovative medicines.
H1B Sponsorship
Regeneron has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (157)
2024 (128)
2023 (128)
2022 (137)
2021 (104)
2020 (122)
Funding
Current Stage
Public CompanyTotal Funding
$15.93MKey Investors
U.S. Department of Health & Human Services
2024-07-11Post Ipo Equity· $2.03M
2023-10-18Post Ipo Equity· $5M
2016-08-22Post Ipo Equity· $8.9M
Leadership Team
Recent News
2026-02-02
2026-02-02
Company data provided by crunchbase