Process modeling (Protein/Antigen) Principal Data Scientist
About The Position
As Principal Data Scientist within the Process Modeling – Vaccines R&D Data & Computational Science team, you will lead the development of AI, machine learning, mechanistic, and hybrid modeling solutions to advance recombinant protein vaccine manufacturing. You will work with process development, analytical, and manufacturing teams to improve process understanding and optimize performance across CHO cell culture, baculovirus expression systems, protein purification, and cell line development. The role combines scientific rigor and computational innovation to support data-driven decisions in vaccine development and manufacturing. The position also involves developing digital twins, simulations, and decision-support tools for process optimization, scale-up, technology transfer, and lifecycle management, and providing scientific leadership and mentorship in data science and process modeling. The role is based in Waltham, Massachusetts.
Requirements
- Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, Applied Mathematics, or a related scientific discipline.
- At least 2 years of relevant experience in the pharmaceutical industry.
- Fluent English.
- Strong scientific leadership, problem-solving, communication, and cross-functional collaboration skills.
Nice To Haves
- Experience applying data science, machine learning, and process modeling in biopharmaceutical, biologics, vaccine, or related development environments, including recombinant protein production and manufacturing.
- Expertise in AI, machine learning, multivariate data analysis, mechanistic and hybrid modeling, digital twins, process simulation, Bayesian optimization, and Design of Experiments, including model-based approaches.
- Experience supporting CHO cell culture, baculovirus expression systems, protein purification, and/or cell line development.
- Proficiency with scientific computing and modeling platforms such as Python, R, MATLAB, JMP, gPROMS, GoSilico, or equivalent tools.
Responsibilities
- Lead development and deployment of AI, machine learning, mechanistic, and hybrid modeling solutions for recombinant protein vaccine process development and manufacturing.
- Apply advanced analytics to identify critical process parameters, predict product quality, improve yield, and optimize process performance.
- Develop modeling solutions for upstream processes, including CHO cell culture, baculovirus and insect cell expression systems, and cell line development.
- Support downstream purification optimization, including chromatography, filtration, and ultrafiltration/diafiltration, using data-driven and model-based approaches.
- Build and deploy digital twins, simulation tools, and decision-support frameworks for process optimization, scale-up, technology transfer, and lifecycle management.
- Collaborate with process development, analytical sciences, manufacturing, and digital teams to turn process knowledge and data into actionable insights.
- Provide scientific leadership and mentorship in AI, machine learning, data science, and process modeling across the organization.
Benefits
- Health and wellbeing benefits, including healthcare, prevention, and wellness programs.
- At least 14 weeks of gender-neutral parental leave.
- Rewards package recognizing employee contributions.
- Employees may be eligible to participate in company employee benefit programs.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
