PAT Senior Data Scientist

Sanofi • Waltham, MA

7d • $100,500 - $145,167

About The Position

As Senior Data Scientist – Process Analytical Technology (PAT) within the Process Modeling – Vaccines R&D Data & Computational Science team, this role turns real-time process and sensor data into insights that support precise, predictable, scalable vaccine manufacturing. The position builds machine learning and chemometric models that provide process development, manufacturing, and analytical teams with real-time visibility into vaccine production across mRNA, recombinant protein, and viral vector platforms. It works at the intersection of data science and bioprocessing to help ensure vaccine batches meet quality requirements.

The role develops predictive models, soft sensors, and monitoring tools using process, analytical, spectroscopic, and sensor data. It collaborates across scientific, manufacturing, automation, and digital functions and supports process characterization, scale-up, technology transfer, validation, and ongoing process verification. The position also helps shape real-time process monitoring strategy and best practices across vaccine platforms.

Requirements

• Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Analytical Chemistry, Data Science, Applied Mathematics, or a related scientific field.
• At least 1 year of relevant experience in the pharmaceutical industry or academia; interns and co-ops will be considered.
• Fluent English.
• Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.

Nice To Haves

• Hands-on experience developing and applying real-time process monitoring, chemometric, machine learning, or data science solutions in biopharmaceutical, biotechnology, or vaccine development and manufacturing settings.
• Expertise in chemometrics, multivariate data analysis, machine learning, and spectroscopy-based monitoring, including Raman, near-infrared, infrared, or UV-visible technologies.
• Experience developing calibration, prediction, classification, and soft sensor models using process and analytical data.
• Proficiency in Python, SIMCA, SynTQ, or Unscrambler.

Responsibilities

• Develop and deploy predictive models and monitoring tools for real-time oversight of vaccine development and manufacturing processes.
• Build predictive models and soft sensors for critical process parameters and critical quality attributes using process and analytical data.
• Analyze data from Raman, near-infrared, infrared, and UV-visible spectroscopic and sensor-based monitoring tools in online, in-line, and at-line settings.
• Apply multivariate analysis, machine learning, and statistical techniques to strengthen process understanding, performance, and product quality.
• Partner with process development, manufacturing, analytical sciences, automation, and digital teams to implement solutions in development and commercial manufacturing settings.
• Support process characterization, scale-up, technology transfer, validation, and ongoing process verification through advanced data analysis.
• Help shape strategy and best practices for real-time process monitoring across mRNA and non-mRNA vaccine platforms.

Benefits

• Health and wellbeing benefits, including high-quality healthcare, prevention and wellness programs.
• At least 14 weeks of gender-neutral parental leave.
• Rewards package recognizing employee contributions.
• Opportunities for professional growth and career development, including promotion or lateral moves and opportunities at home or internationally.
• Opportunity to collaborate with diverse teams across science, clinical, and digital fields.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree