Scientist - Quantitative Pharmacology and Machine Learning

Job Responsibilities:

• 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.

Skills:

• 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, TensorFlow, 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.

Education/Experience:

• 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.