Process Development Engineer III, Data Science

About the role

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.

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.
• 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) is a plus.

Qualifications

• Passionate about applying data science to solve complex problems in bioprocess development.
• Ability to work independently and collaboratively in a dynamic, fast-paced environment.
• Strong problem-solving and analytical skills.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Experience with cloud-based platforms and services.

Skills

• Python programming
• SQL database management
• Linux/Unix command line
• Git version control
• Machine learning and predictive analytics
• DevOps and deployment technologies (Kubernetes, NixOS, Jenkins)
• Operational Technology and analytics platforms (PI Historian, OPC, MQTT, Dataiku, Seeq)

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, and family support benefits.

Pay

$109,900.00 - $179,300.00 annually

Schedule

Full-time