Regeneron
ProcessDevelopmentEngineerIII,AIandDataScience
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optimal for Senior candidates.
“Process Development Engineer III, AI and Data Science at Regeneron. Skills: AI, Data Science, Bioprocess engineering, ML models. Build and deploy AI/ML-powered solutions. Advance PAPD's broader AI, DS and related digital-maturity”
What You'll Achieve.
Accelerate biologics development; Accelerate manufacturing; Enhance process understanding; Enhance process optimization; Enhance process automation
Industry & Context.
Creative problem solving
What They're Looking For.
Must Have
Ph.D. in Chemical/Chemical 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, Experience with statistical/computational tools such as JMP, SIMCA or MATLAB, Proven ability to communicate technical concepts to multidisciplinary stakeholders
Nice to Have
Hands-on experience with cloud analytics platforms (e.g., Dataiku, Databricks), Working knowledge of Quality-by-Design (QbD) principles, Statistically rigorous Design-of-Experiments (DoE), Familiarity with PAT and chemometric modeling (e.g., Raman spectroscopy), Understanding of operation research techniques, Ability to deal with data from both SQL and NoSQL systems, Publication record in bioprocess modeling or AI for biomanufacturing, Mechanistic understanding of upstream and/or downstream bioprocess unit operations, Demonstrated success modeling bioprocesses via first-principles, hybrid, or data-driven (ML) methods, Foundation in AI/ML algorithms (regression, classification, Bayesian methods, deep learning, time-series, probabilistic modeling), Expertise in multivariate statistics for process modeling, real-time monitoring, and control, Some experience with GenAI stacks (LLMs, vector databases, RAG pipelines), Multimodal techniques experience
What You'll Do.
Build and deploy AI/ML-powered solutions
Advance PAPD's broader AI
DS and related digital-maturity
Collaborate with process engineers
citizen data scientists
Coordinate AI and Advanced modeling efforts enterprise wide
prototype and implement GenAI approaches and solutions
Enhance knowledge management
Enhance decision support
and maintain mechanistic
Inform continuous improvement
Mentor citizen data scientists
Champion best practices in model development
Champion best practices in method selection
Champion best practices in code quality
How You'll Work.
Team & Collaboration
Cross-functional teams; Process engineers; Citizen data scientists; IT colleagues; Manufacturing colleagues; Digital teams
Communication Scope
Technical concepts; Multidisciplinary stakeholders
Full 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 transf
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