Co-op, Clinical Pharmacology & Pharmacometrics

Job Description:

• Contribute to the development and refinement of mechanistic Quantitative Systems Pharmacology (QSP) models supporting drug discovery and development programs
• Explore and evaluate AI and machine learning approaches to enhance and accelerate QSP modeling workflows
• Perform Model-Based Meta-Analyses (MBMA) to generate quantitative evidence informing portfolio strategy and drug development decisions
• Analyze, integrate, and interpret preclinical and clinical data supporting model development and decision-making
• Learn and implement industry-standard data handling and modeling rules
• Prepare internal presentations on work progress on an ongoing basis
• Prepare external poster and manuscript publications when applicable
• Support additional Clinical Pharmacology & Pharmacometrics team tasks as needed

Requirements:

• Strong interest in Quantitative Systems Pharmacology (QSP), mechanistic modeling, and model-informed drug development
• Experience developing or applying mathematical, computational, or systems biology models to address complex biological questions
• Interest in applying AI/ML methods to enhance modeling workflows, data integration, and scientific decision-making
• Proficiency in R, Python, MATLAB, or similar scientific computing tools
• Experience analyzing and interpreting biological, preclinical, clinical, omics, or literature-derived datasets
• Familiarity with meta-analysis, model-based analysis, evidence synthesis, or related quantitative methods
• Strong quantitative reasoning, scientific problem-solving, and critical thinking skills
• Demonstrated ability to independently learn and apply new computational, analytical, and modeling techniques
• Strong written and verbal communication skills, with the ability to present complex scientific concepts clearly
• Ability to work effectively in a collaborative, multidisciplinary research environment
• Legal authorization to work in the U.S.
• At least 18 years of age prior to the scheduled start date
• Currently enrolled in an accredited community college, college, university or skills program/apprenticeship
• Ph.D. candidate (3rd year or above) with experience in quantitative, computational, or mechanistic modeling
• Candidates with a Master’s degree or Pharm.D. and demonstrated modeling, data analysis, or computational biology experience will also be considered

Benefits:

• Company paid holidays
• Commuter benefits
• Employee Resource Groups participation
• 80 hours of sick time per calendar year