Process Development Engineer III, AI and Data Science

Build our future together:

At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Process Development Engineer III, AI and Data Science to join our Artificial Intelligence (AI) and Advanced Analytics (AA) team within the Data Enablement and Analytics (DEA) group in PAPD (Product, Analytics and Process Development). You’ll pair deep bioprocess-engineering expertise with sophisticated AI/ML and Data Science capabilities to accelerate biologics development and manufacturing, designing, implementing, and operationalizing models for upstream, downstream, formulation, and analytics teams. You’ll partner closely with process-development, manufacturing-sciences, and digital teams to turn data into prescriptive guidance and deploy production-grade models.

This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

When & where:

• Shift Requirements: Full-time, standard business hours, with flexibility to support before- and after-hours executive meetings, town halls, and corporate events
• Location: On-site in Tarrytown, NY
• Flexibility & travel: Minimal to no travel; must be available on-site consistently, including to maintain coverage during staff absences and critical site events

Discover your role:

• Build and deploy AI/ML-powered solutions to accelerate our digitalization journey
• Advance PAPD’s broader AI, DS, and related digital-maturity initiatives
• Collaborate with process engineers, citizen data scientists, IT, and manufacturing colleagues to coordinate AI and advanced modeling efforts enterprise-wide
• Explore, prototype, and implement GenAI approaches and solutions (e.g., Retrieval-Augmented Generation) to enhance knowledge management and decision support
• Develop, validate, and maintain mechanistic, hybrid, and data-driven models for cell culture, purification, formulation, and other processes, including digital twins, advanced predictive modeling, and process control techniques
• Translate complex bioprocess questions into quantitative modeling strategies that inform scale-up, tech transfer, and continuous improvement
• Mentor citizen data scientists and champion best practices in model development, method selection, and code quality

This role requires:

• A Ph.D. in Chemical/Biochemical Engineering, Biotechnology, Applied Mathematics, Computer Science, or a related field with 0-2+ years of industrial experience, or a Master’s with 7+ years
• Expert programming proficiency in Python and experience with statistical/computational tools such as JMP, SIMCA, or MATLAB
• Proven ability to communicate technical concepts to multidisciplinary stakeholders
• Analytical rigor and creative problem-solving, with the ability to drive projects autonomously while thriving in cross-functional teams
• Excellent written and verbal communication and a passion for innovation and continuous learning
• Hands-on experience with cloud analytics platforms (e.g., Dataiku, Databricks) preferred
• Strong working knowledge of Quality-by-Design (QbD) principles and statistically rigorous Design-of-Experiments (DoE) preferred
• Familiarity with PAT and chemometric modeling (e.g., Raman spectroscopy) for bioprocess monitoring and control preferred
• Mechanistic understanding of upstream and/or downstream bioprocess unit operations, scale-up/down principles, and critical quality attributes strongly preferred
• Demonstrated success modeling bioprocesses via first-principles, hybrid, or data-driven (ML) methods preferred
• Strong foundation in AI/ML algorithms (regression, classification, Bayesian methods, deep learning, time-series, probabilistic modeling), along with expertise in multivariate statistics, is a plus
• Understanding of operations research techniques such as combinatorial optimization, linear programming, and mixed integer programming is a plus
• Ability to work with data from both SQL and NoSQL systems is a plus
• Publication record in bioprocess modeling or AI for biomanufacturing is a plus
• Experience with GenAI stacks (LLMs, vector databases, RAG pipelines) and multimodal techniques strongly preferred

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all  qualified applican…