Process Development Engineer III, Data Science

Job description

Regeneron’s Data Enablement and Analytics (DEA) team within Preclinical Manufacturing and Process Development (PMPD) is seeking a Machine Learning Engineer to develop, build and deploy analyses and machine learning models that support bioprocess development. This role is ideal for a data scientist with a strong foundation in chemical or biomedical engineering and a passion for building impactful solutions in close collaboration with scientists and process engineers. You will work at the intersection of software engineering, data science, and bioprocess domain expertise—developing models that will be put into action within PMPD’s laboratory and manufacturing operations. You will mentor and coordinate citizen data scientists. Your work will streamline workflows, enable automation, and accelerate decision-making across PMPD. A Typical Day in the Role Might Look Like: 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‑in...