> Markdown version of [/jobs/ext/1394790-process-development-engineer-iii-data-science](https://www.wearedevelopers.com/jobs/ext/1394790-process-development-engineer-iii-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Process Development Engineer III, Data Science - **Company:** Regeneron - **Location:** Tarrytown, NY, United States - **Experience:** Expert - **Salary:** $109,900.0 - $179,300.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, Computer Programming, Database Design, DevOps, Python (Programming Language), Machine Learning, Message Queuing Telemetry Transport (MQTT), OLE for Process Control, Scaled Agile Framework, Software Engineering, SQL Databases, Git, Kubernetes, Machine Learning Operations, Dataiku, Jenkins - **Published:** July 23, 2026 - **Apply:** https://www.biospace.com/logon?PipelinedPage=%2Fjob%2F3063329%2Fprocess-development-engineer-iii-data-science%3FAction%3DContinueJobApplication%23application-form ## About the Role * Bachelors or Masters 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, realworld 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. ## Description Regenerons 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 expertisedeveloping models that will be put into action within PMPDs 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 highimpact 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 datainformed decisionmaking. * 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 ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Résumé-Driven Development: How IT trends affect the job market for software developers](https://www.wearedevelopers.com/magazine/59-resume-driven-development-how-it-trends-affect-the-job-market-for-software-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)