below marketmost similar roles pay hereabove market
This role pays less than
96%
of similar roles. Most pay
$137,100–$195,321
— the blue band above.
At the midpoint, this role pays about
$123k
versus about
$166k
for comparable roles.
Based on 240 similar postings.
Employer
About Sanofi
Sanofi is a French global R&D-driven and AI-powered biopharmaceutical company focused on human health through specialized medicine, vaccines, and consumer healthcare.
Sanofi currently has
13 open roles
on FindRole.
Listed pay typically runs
$148,500–$214,500
across 8 roles with salary data.
The PAT Senior Data Scientist joins the Process Modeling – Vaccines R&D Data & Computational Science team to transform real-time process and sensor data into actionable insights for vaccine manufacturing. This role involves building machine learning and chemometric models to provide visibility into production across mRNA, recombinant protein, and viral vector platforms. Key responsibilities include developing predictive models and soft sensors for critical process parameters and quality attributes, as well as analyzing data from Raman, near-infrared, infrared, and UV-visible technologies. The successful candidate will apply multivariate analysis and statistical techniques to support process characterization, scale-up, and technology transfer. Required technical skills include proficiency in Python, SIMCA, SynTQ, or Unscrambler, alongside expertise in spectroscopy-based monitoring and multivariate data analysis within a biopharmaceutical or vaccine development context.
What does a Data Scientist earn?
Median $173200 from 344 postings across 66 companies.
Develop and deploy predictive models and monitoring tools for real-time oversight of vaccine manufacturing.
Build predictive models and soft sensors for critical process parameters and quality attributes.
Analyze data from spectroscopic and sensor-based tools including Raman, near-infrared, and UV-visible technologies.
Apply multivariate analysis, machine learning, and statistical techniques to improve process understanding and product quality.
Support process characterization, scale-up, technology transfer, validation, and ongoing process verification.
Shape strategy and best practices for real-time process monitoring across mRNA and non-mRNA platforms.
What we're looking for
Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Analytical Chemistry, Data Science, Applied Mathematics, or a related scientific field.
1+ years of relevant experience in the pharmaceutical industry or academia.
Fluent English language skills.
Hands-on experience developing and applying real-time process monitoring, chemometric, machine learning, or data science solutions in biopharma (preferred).
Expertise in chemometrics, multivariate data analysis, machine learning, and spectroscopy-based monitoring (preferred).
Experience developing calibration, prediction, classification, and soft sensor models using process and analytical data (preferred).
Proficiency in Python, SIMCA, SynTQ, or Unscrambler (preferred).
Strong problem-solving, communication, and collaboration skills across multidisciplinary teams (preferred).
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