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
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