Staff Engineer, Data Science (PMPD)

The Data Enablement and Analytics (DEA) team, within the PMPD (Preclinical Manufacturing and Process Development) organization, is a multi-functional team that drives PMPD’s digitalization efforts in support of the PMPD “Science to Process” mission, making data usable and useful! We are seeking a Staff Engineer, Data Science to join our Data Science team in DEA, who pairs deep bioprocess‐engineering expertise with sophisticated AI/ML capabilities to accelerate biologics development and manufacturing.

You will design, implement, and operationalize models for upstream (cell-culture/bioreactor) and/or downstream purification operations 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 Staff Engineer Might Look Like:

• Develop, validate, and maintain mechanistic, hybrid, and data-driven models for cell culture and/or purification processes.
• Translate complex bioprocess questions into quantitative modeling strategies that inform scale-up, tech transfer, and continuous improvement.
• Advance PMPD’s broader data-science and digital-maturity initiatives.
• Collaborate with process engineers, citizen data scientists, IT, and manufacturing colleagues to coordinate modeling efforts enterprise wide.
• Build and deploy AI/ML-powered digital solutions on cloud-based analytics platforms.
• Mentor citizen data scientists and champion best practices in model development, method selection, and code quality.
• Explore and prototype GenAI approaches (e.g., Retrieval-Augmented Generation) to enhance knowledge management, and decision support.

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

 This role requires a Ph.D. in Chemical/Biochemical Engineering, Biotechnology, Applied Mathematics, or related field with 4+ years of industrial experience OR- Master’s with 7+ years. A deep mechanistic understanding of upstream and/or downstream bioprocess unit operations, scale-up/down principles, and critical quality attributes is required. 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. Expert programming proficiency in Python and SQL and experience with statistical/computational tools such as JMP, SIMCA, MATLAB is helpful. Proven ability to communicate technical concepts to multidisciplinary stakeholders a must.

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.
• Exposure to GenAI stacks (LLMs, vector databases, RAG pipelines) and multimodal techniques.
• Strong publication record in bioprocess modeling or AI for biomanufacturing.

YouTube Video on PMPD Bioreactor Scale Up Development:

https://www.youtube.com/watch?v=uikD5fzEwyM

YouTube Video on Career Development at Regeneron:

https://www.youtube.com/watch?v=4fg18hC-gsw&list=PL_7lj13Lp4fH4OssUue8J5bby6muZsaR4&index=2

#pmpd

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!

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)