Process Development Engineer III, Data Science

About the role

Join our Data Enablement and Analytics (DEA) team within Preclinical Manufacturing and Process Development (PMPD) to develop, build, and deploy analyses and machine learning models that support bioprocess development. You'll work at the intersection of software engineering, data science, and bioprocess domain expertise, partnering closely with scientists and process engineers to streamline workflows, enable automation, and accelerate decision-making. This role offers the opportunity to mentor and coordinate citizen data scientists while contributing to a fast-growing, science-driven organization making a meaningful difference to patients worldwide.

Responsibilities

• Partner closely with scientists, engineers, and analysts to understand bioprocess workflows and identify high-impact data science opportunities
• Acquire, clean, and structure complex datasets to enable scalable, repeatable analyses
• Design, develop, and apply advanced analytics and machine learning models to drive data-informed decision-making
• Deploy models into production environments, enabling automated and autonomous operations where appropriate
• Lead, mentor, and coordinate citizen data scientists on critical initiatives across PMPD
• Enhance, maintain, and extend existing analytics tools and platforms to support new use cases and evolving business needs
• Contribute as an active member of Agile teams within a Scaled Agile Framework, supporting planning, delivery, and continuous improvement
• Continuously evaluate emerging technologies and methodologies to strengthen data science capabilities within the organization

Requirements

• Bachelor's or Master's degree in Chemical Engineering, Biomedical Engineering, or a related discipline
• 5-7 years of experience in bioprocess development, pharmaceutical manufacturing, or a closely related domain
• Demonstrated ability to apply machine learning and predictive analytics to complex, real-world problems
• Strong programming skills in Python and SQL, with a solid understanding of data modeling and database design
• Experience working in Linux/Unix environments and using Git for version control and collaboration
• Excellent communication skills and a collaborative mindset, with the ability to partner effectively with scientists, engineers, and analysts, while mentoring citizen data scientists

Preferred Qualifications

• Familiarity with DevOps and deployment technologies such as Kubernetes, NixOS, and Jenkins
• Experience with Operational Technology and analytics platforms (e.g., PI Historian, OPC, MQTT, Dataiku, Seeq)

Schedule

• Full-time, standard business hours, with flexibility to support before- and after-hours executive meetings, town halls, and corporate events
• On-site in Tarrytown, NY, with a minimum requirement of 4 days per week on-site
• Minimal to no travel

Pay

Salary Range (annually): $109,900.00 - $179,300.00

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
• Family support benefits