Process Development Engineer III, AI and Data Science
Regeneron · New York, US
Job description
The Data Enablement and Analytics (DEA) team within the PAPD (Product, Analytics and Process Development) organization drives PAPD’s digital transformation by making data usable, useful, and impactful in support of our mission of Transforming Therapeutic Molecules into Products for a Diversified Pipeline.
We are seeking a Process Development Engineer III, AI and Data Science to join our Artificial Intelligence (AI) and Advanced Analytics (AA) team in DEA, who pairs deep bioprocess‐engineering expertise with sophisticated AI/ML and Data Science (DS) capabilities to accelerate biologics development and manufacturing.
You will design, implement, and operationalize AI and DS models for upstream (cell-culture/bioreactor), downstream (purification) operations, Formulation Development and multiple Analytics teams while partnering closely with process-development, manufacturing-sciences, and digital teams. You will turn data into prescriptive guidance, deploy production-grade models, and build innovative AI solutions that enhance process understanding, optimization, and automation.
A Typical Day in the Role of Process Development Engineer III Might Look Like:
- Build and deploy AI/ML-powered solutions to accelerate our digitalization journey.
- Advance PAPD’s broader AI, DS and related digital-maturity initiatives.
- Collaborate with process engineers, citizen data scientists, IT, and manufacturing colleagues to coordinate AI and Advanced modeling efforts enterprise wide.
- Explore, prototype and implement GenAI approaches and solutions (e.g., Retrieval-Augmented Generation) to enhance knowledge management, and decision support.
- Develop, validate, and maintain mechanistic, hybrid, and data-driven models for cell culture, purification, formulation and other processes. These include digital twins, advanced predictive modelling, and process control techniques.
- Translate complex bioprocess questions into quantitative modeling strategies that inform scale-up, tech transfer, and continuous improvement.
- Mentor citizen data scientists and champion best practices in model development, method selection, and code quality.
This Role Might Be For You If You Have:
- Analytical rigor and creative problem solving
- Ability to drive projects autonomously while thriving in cross-functional teams
- Excellent written and verbal communication
- Passion for innovation and continuous learning
Required Qualifications
- This role requires a Ph.D. in Chemical/Biochemical Engineering, Biotechnology, Applied Mathematics, Computer Science or related field with 0-2+ years of industrial experience OR- Master’s with 7+ years.
- Expert programming proficiency in Python and experience with statistical/computational tools such as JMP, SIMCA or MATLAB is required.
Proven ability to communicate technical concepts to multidisciplinary stakeholders.
*
Preferred Qualifications
- Hands-on experience with cloud analytics platforms (e.g., Dataiku, Databricks).
- Strong working knowledge of Quality-by-Design (QbD) principles and statistically rigorous Design-of-Experiments (DoE) for defining design space, optimizing critical process parameters, and informing robust control strategies.
- Familiarity with PAT and chemometric modeling (e.g., Raman spectroscopy) for bioprocess monitoring and control.
- Understanding of operation research techniques such as combinatorial optimization, linear programming, mixed integer programming is a plus.
- Ability to deal with data from both SQL and NoSQL systems to support analytics, real-time processing, and application performance is a plus.
- Publication record in bioprocess modeling or AI for biomanufacturing is a plus.
- Mechanistic understanding of upstream and/or downstream bioprocess unit operations, scale-up/down principles, and critical quality attributes is strongly preferred.
- A demonstrated success modeling bioprocesses via first-principles, hybrid, or data-driven (ML) methods is preferred.
- A strong foundation in AI/ML algorithms (regression, classification, Bayesian methods, deep learning, time-series, probabilistic modeling) is a plus, along with expertise in multivariate statistics for process modeling, real-time monitoring, and control.
- Some experience with GenAI stacks (LLMs, vector databases, RAG pipelines) and multimodal techniques is necessary/required/strongly preferred.
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 - $179,300.00
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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