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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Company paid holidays
- Commuter benefits
- Employee Resource Groups participation
- 80 hours of sick time per calendar year