Scientist - Quantitative Pharmacology and Machine Learning

Develop and enhance Pharmacokinetics (PK)/Pharmacodynamics (PD) modeling, data analysis, and decision-support tools for drug discovery and development. Develop and enhance quantitative pharmacology tools, including PK/PD models, interactive applications using Python and Shiny for Python, automated analytical workflows, model diagnostics and visualization, and agentic AI-enabled workflows. Support data analysis and the development of mathematical and machine learning models to support compound prioritization and early drug development decisions.

Integrate molecular structures, compound descriptors, experimental data, and other relevant information to predict pharmacokinetic and pharmacological properties of small molecules. Develop robust, validated, reproducible, and user-friendly computational solutions. Explore agentic approaches to automate and orchestrate data analysis, model execution, interpretation, and reporting. Work closely with QP scientists across multiple therapeutic areas and research platforms within the broader R&D organization.

• Proficiency in Python, with some experience developing 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 PK/PD modeling, dynamical systems, time-series, or longitudinal data is a plus.
• Familiarity with machine learning model development, evaluation, and validation, using libraries and frameworks such as Scikit-learn, PyTorch, Tensor Flow, or Keras.
• Familiarity with agentic and AI-enabled workflows for automating and orchestrating data analysis, model execution, scientific interpretation, and reporting is a plus.
• Ability to work effectively in a matrixed and global environment.
• Must be able to work 40 hours/week, Monday-Friday, for the full duration of the contract.
• Must meet applicable U.S. work authorization requirements for the contractor position.

Bachelor’s degree or higher in Computer Science, Engineering, Data Science, Applied Mathematics, or a related quantitative field, with a strong background in software development and scientific computing. 1-3 years of experience.