Regeneron Logo

Regeneron

Process Development Engineer III, Data Science

Reposted 15 Days Ago
Be an Early Applicant
In-Office
Tarrytown, NY
110K-179K Annually
Senior level
In-Office
Tarrytown, NY
110K-179K Annually
Senior level
The role involves developing, deploying, and mentoring in machine learning models for bioprocess development, while collaborating with scientists and engineers.
The summary above was generated by AI

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‑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

What You Bring
  • 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.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location.  In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.  For other countries’ specific benefits, please speak to your recruiter.
Please be advised that at Regeneron, we believe we are most successful and work best when we are together.  For that reason, many of Regeneron’s roles are required to be performed on-site.  Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.
 

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions.  For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process.  Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually)

$109,900.00 - $179,300.00

Similar Jobs

An Hour Ago
Remote or Hybrid
United States
55-65 Hourly
Mid level
55-65 Hourly
Mid level
Fintech • Payments • Software
The Compensation Consultant will support Workday implementation focusing on compensation design, system configuration, and day-to-day compensation support for APAC regions, ensuring accurate operationalization of compensation programs.
Top Skills: ExcelGoogle SheetsWorkday
3 Hours Ago
Hybrid
150K-180K Annually
Senior level
150K-180K Annually
Senior level
Artificial Intelligence • Healthtech • HR Tech • Insurance • Software • Telehealth • Generative AI
The Controller will manage all accounting aspects, implement scalable systems, prepare financial statements, ensure compliance, and support strategic decision-making.
Top Skills: CamprfireErpUs Gaap
3 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
187K-234K Annually
Senior level
187K-234K Annually
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
As a Senior Software Engineer at Babylist, you will develop systems for a high-volume marketplace, collaborating on advertising, commerce features, and infrastructure while leading projects and improving processes with AI-driven methodologies.
Top Skills: Ai Coding ToolsAWSDjangoJavaScriptMySQLNode.jsPythonReactRedisRuby On RailsSidekiq

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account