below marketmost similar roles pay hereabove market
This role pays less than
73%
of similar roles. Most pay
$142,725–$213,222
— the blue band above.
At the midpoint, this role pays about
$149k
versus about
$178k
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
12 open roles
on FindRole.
Listed pay typically runs
$154,875–$223,708
across 8 roles with salary data.
JOB TITLE: Process modeling (Protein/Antigen) Principal Data Scientist
As a Principal Data Scientist within the Process Modeling – Vaccines R&D Data & Computational Science team, you will lead the development of AI, machine learning, and hybrid modeling solutions to accelerate recombinant protein vaccine manufacturing. You will build digital twins, simulation tools, and decision-support frameworks to optimize upstream processes like CHO cell culture and baculovirus expression systems, as well as downstream purification operations including chromatography and filtration. Your daily work involves applying advanced analytics to identify critical process parameters, predict product quality, and improve yields. You will utilize technologies such as Python, R, MATLAB, JMP, gPROMS, and GoSilico. This role solves complex biopharmaceutical problems by integrating mechanistic modeling and multivariate data analysis to strengthen the development and manufacturing of life-saving vaccines.
What does a Data Scientist earn?
Median $173200 from 329 postings across 65 companies.
Lead the development and deployment of AI, machine learning, mechanistic, and hybrid modeling solutions for vaccine manufacturing.
Apply advanced analytics to identify critical process parameters and predict product quality and yield.
Develop modeling solutions for upstream processes including CHO cell culture and baculovirus expression systems.
Optimize downstream purification operations such as chromatography and filtration using data-driven approaches.
Build and deploy digital twins and simulation tools to support scale-up and technology transfer.
Integrate process knowledge and data into actionable insights for manufacturing and analytical teams.
Provide scientific leadership and mentorship in data science and process modeling across the organization.
What we're looking for
Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, Applied Mathematics, or a related scientific discipline.
2+ years of relevant experience in the pharmaceutical industry.
Fluent English language skills.
Background applying data science, machine learning, and process modeling in biopharmaceutical, biologics, vaccine, or related development environments (preferred).
Expertise in AI, machine learning, multivariate data analysis, mechanistic and hybrid modeling, digital twins, process simulation, Bayesian optimization, and Design of Experiments (preferred).
Experience supporting CHO cell culture, baculovirus expression systems, protein purification, and/or cell line development (preferred).
Proficiency in scientific computing and modeling platforms such as Python, R, MATLAB, JMP, gPROMS, GoSilico, or equivalent tools (preferred).
Strong scientific leadership, problem-solving, communication, and cross-functional collaboration skills (preferred).
Python
SQL
Spark
Databricks
MLOps
Generative AI
LLMs
CI/CD
GitHub Actions
MLflow
Arize AI
Unity Catalog
Predictive Analytics
Data Pipelines
Feature Engineering
Model Monitoring
Data Governance
Version Control
Anomaly Detection
AWS
Data Architecture
Data Modeling
Data Engineering
GraphRAG
Knowledge Graphs
Data Lakes
Lakehouses
Metadata Management
Data Governance
SDTM
ADaM
MedDRA
FHIR
OMOP
DICOM
Distributed Data Processing
FAIR Data Principles
South San Francisco, CA80 days ago
$185,200–$343,900
Biostatistics
Statistics
Data Science
Statistical Computing
Advanced Modeling
AI
ML
Real-World Data
Predictive Biomarkers
Simulation Frameworks
Quantitative Frameworks
Clinical Trial Research
Open Source Software