Staff Engineer, Data Science (PMPD)

Regeneron Pharmaceuticals • Tarrytown, NY

76d • $126,700 - $206,900

About The Position

The Data Enablement and Analytics (DEA) team, within the PMPD (Preclinical Manufacturing and Process Development) organization, is a multi-functional team that drives PMPD's digitalization efforts in support of the PMPD 'Science to Process' mission, making data usable and useful! We are seeking a Staff Engineer, Data Science to join our Data Science team in DEA, who pairs deep bioprocess-engineering expertise with sophisticated AI/ML capabilities to accelerate biologics development and manufacturing. You will design, implement, and operationalize models for upstream (cell-culture/bioreactor) and/or downstream purification operations while partnering closely with process-development, manufacturing-sciences, and digital teams. You will turn data into prescriptive guidance, deploy production-grade models, and build innovative AI solutions that enhance process understanding, optimization, and automation.

Requirements

• Ph.D. in Chemical/Biochemical Engineering, Biotechnology, Applied Mathematics, or related field with 4+ years of industrial experience OR Master's with 7+ years.
• Deep mechanistic understanding of upstream and/or downstream bioprocess unit operations, scale-up/down principles, and critical quality attributes.
• Demonstrated success modeling bioprocesses via first-principles, hybrid, or data-driven (ML) methods.
• Strong foundation in AI/ML algorithms (regression, classification, Bayesian methods, deep learning, time-series, probabilistic modeling).
• Expert programming proficiency in Python and SQL.
• Experience with statistical/computational tools such as JMP, SIMCA, MATLAB.
• Proven ability to communicate technical concepts to multidisciplinary stakeholders.

Nice To Haves

• 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).
• 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.
• Exposure to GenAI stacks (LLMs, vector databases, RAG pipelines) and multimodal techniques.
• Strong publication record in bioprocess modeling or AI for biomanufacturing.

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.

Benefits

• Health and wellness programs
• Fitness centers
• Equity awards
• Annual bonuses
• Paid time off for eligible employees at all levels

What This Job Offers

• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees