Regeneron logo

Process Development Engineer III, Data Enablement and Analytics (DEA/PMPD)

Regeneron
Full-time
On-site
Tarrytown, NY
IT

Want to see how your resume matches up to this job? A free trial of our JobsAI will help! With over 2,000 biopharma executives loving it, we think you will too! Try it now — JobsAI.

Role Summary

Process Development Engineer III, Data Enablement and Analytics (DEA/PMPD) at Regeneron. Architect, develop, and optimize advanced data platforms and software solutions to drive bioprocess innovation, integrating mission-critical systems and enabling real-time data flows across PMPD. Lead complex initiatives at the intersection of data systems, software engineering, and bioprocess development.

Responsibilities

  • Architect and implement scalable, high-performance data solutions that integrate bioprocess workflows with enterprise platforms.
  • Design and optimize event-driven integrations and APIs for seamless interoperability across heterogeneous systems.
  • Drive platform reliability and performance, proactively identifying bottlenecks and implementing advanced monitoring and observability practices.
  • Champion engineering excellence within Agile teams, contributing to architecture reviews, code quality standards, and continuous improvement initiatives.
  • Stay ahead of emerging technologies, introducing innovative approaches to data engineering and operational technology integration.

Qualifications

  • Role requires a PhD with 0-3 years relevant experience, or a Bachelor's (10+ years) or Master‚Äôs degree (8+ years) in Engineering, Computer Science, or related discipline with strong quantitative and analytical skills.
  • Preferred: 5+ years of experience in bioprocess development, pharmaceutical manufacturing, or industrial data systems.
  • Expert-level programming proficiency in Python, JavaScript, and SQL, with a proven track record of building production-grade applications.
  • Deep knowledge of distributed systems, database architecture, and event-driven design patterns.
  • Hands-on experience with DevOps and cloud-native technologies (Kubernetes, NixOS, Jenkins) and infrastructure-as-code principles.
  • Strong familiarity with Operational Technology (PI Historian, OPC, MQTT) and industrial data protocols.
  • Exceptional communication and leadership skills, with the ability to mentor developers and influence cross-functional stakeholders.

Skills

  • Data engineering
  • System integration
  • APIs and event-driven design
  • Cloud-native technologies
  • DevOps practices
  • Industrial data protocols
  • Leadership and mentorship

Education

  • PhD with 0-3 years relevant experience, or Bachelor's (10+ years) or Master‚Äôs degree (8+ years) in Engineering, Computer Science, or related discipline
Apply now
Share this job