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
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 are committed to building a workplace with an inclusive culture. 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, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or 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. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$109,900.00 - $179,300.00Skills Required
- Bachelor's or Master's degree in Chemical Engineering, Biomedical Engineering, or related discipline
- 5-7 years of experience in bioprocess development or pharmaceutical manufacturing
- Demonstrated ability to apply machine learning to complex problems
- Strong programming skills in Python and SQL
- Experience working in Linux/Unix environments
- Experience using Git for version control
- Excellent communication skills and collaborative mindset
- Familiarity with DevOps and deployment technologies
- Experience with Operational Technology and analytics platforms
Regeneron Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Regeneron and has not been reviewed or approved by Regeneron.
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Healthcare Strength — Medical, dental, and vision coverage is positioned as comprehensive, with Regeneron prescription drugs covered at 100% for those enrolled in the medical plan. Mental health support is also emphasized through EAP access and tools like Talkspace and the Journey app.
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Equity Value & Accessibility — Stock grants are described as available to all employees, strengthening the overall total-rewards package beyond base pay. Long-term incentives and stock-related rewards are repeatedly framed as meaningful components of compensation.
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Parental & Family Support — Paid parental leave is paired with fertility/adoption assistance and childcare-related support such as discounts and nanny services. Additional family-oriented resources extend to elder care, pet care, and education support like college coaching and tutoring.
Regeneron Insights
What We Do
At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.


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