Pharmacology Data Jobs

1 job found

Today

Data Scientist

Sanofi Cambridge, MA

Cambridge, MA

Today

Contract Analytics Business Intelligence Data Analysis

Apply Now

Job Description

Sanofi is hiring a Data Scientist for a 6-month contract with the Quantitative Pharmacology (QP) group. This onsite role in Cambridge, MA supports drug discovery and development through PK/PD modeling, scientific data analysis, and decision-support computational solutions. You will build tools that are robust, validated, reproducible, and designed to be user-friendly for QP scientists.

Responsibilities

Develop and enhance PK/PD models and quantitative pharmacology tools
Conduct scientific data analysis, visualization, and model diagnostics
Create interactive applications using Python and Shiny for Python
Build automated, reproducible analytical workflows
Develop mathematical and machine learning models to support compound prioritization and early drug development decisions
Integrate molecular structures, compound descriptors, experimental data, and related information to predict pharmacokinetic and pharmacological properties of small molecules
Explore AI-enabled and agentic workflows to automate and orchestrate data analysis, model execution, interpretation, and reporting
Support computational solutions across multiple therapeutic areas and research platforms within Sanofi’s broader R&D organization
Work closely with QP scientists to advance PK/PD modeling, analysis, and decision-support tools for drug discovery and development
Deliver computational solutions that are validated, reproducible, and user-friendly

Requirements

Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Applied Mathematics, or a related quantitative field
1–3 years of relevant professional experience
Strong background in software development and scientific computing
Proficiency in Python
Some experience building interactive applications using Shiny for Python or related frameworks
Familiarity with software development practices, including Git, testing, documentation, and reproducible workflows
Experience with scientific data analysis, visualization, and mathematical/statistical modeling
Familiarity with machine learning model development, evaluation, and validation
Experience with or familiarity with ML libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Keras
Ability to work effectively in a matrixed and global environment

Preferred Qualifications

Familiarity with PK/PD modeling
Experience with dynamical systems, time-series, or longitudinal data
Experience working with molecular structures, compound descriptors, or experimental drug-development data
Familiarity with AI-enabled or agentic workflows for automating and orchestrating data analysis, model execution, interpretation, and reporting
Experience in pharmaceutical, biotechnology, drug discovery, or related scientific research environments

Technology stack: Python, Shiny for Python, Git, scikit-learn, PyTorch, TensorFlow, Keras.

View full job page →

Get Pharmacology Data Jobs alerts

New Pharmacology Data Jobs, daily.