Co-op, Clinical Pharmacology & Pharmacometrics

About the Role:

This application is for a 6-month student role from July - December 2026. Resume review begins in January 2026.

Clinical Pharmacology and Pharmacometrics (CPP) plays a central role in determining the right dose of the right molecule for the right patient by applying pharmacology principles, quantitative modeling, and simulations. CPP contributes across the entire drug‑development continuum-from pre‑R2D through regulatory submission, approval, and life‑cycle management. The function generates quantitative insight into what the body does to the drug (pharmacokinetics) and what the drug does to the body (pharmacodynamics), enabling prediction of benefit-risk, accelerating development, and informing regulatory strategy. CPP ultimately contributes to 25-40% of final drug‑label content.

This Co‑Op role will support Clinical Pharmacology strategy in a specific disease area by researching the competitive landscape, focusing on PK/PD relationship, and generating quantitative metrics to inform internal development. The role provides hands‑on exposure to industry drug development and clinical pharmacology strategy-setting.

What You'll Do:

As a co-op, you will have the job as described below, but not limited to:

• Perform thorough literature search, data digitization, summary and visualization
• Produce or re-produce PopPK/PD models and/or statistical exposure - response models
• Perform meta-analysis or model-based based analysis (MBMA)
• Learn and implement the industry-standard data handling and modeling rules
• Support Clin Pharm Lead in summarizing the competitive landscape strategy
• Prepare internal presentations based on the progress of work on an on-going basis
• Prepare external poster and manuscript publications, when applicable, which is highly possible and encouraged.
• Support additional CPP team tasks as needed

• Understanding of PK/PD principles is mandatory
• Population PK/PD Modeling skills are mandatory
  • Proficiency in NONMEM, Monolix, or similar tools.
  • Understanding of mixed-effects modeling and covariate analysis.
  • Understand exposure-response modeling, survival analysis
• Basic programming and data handling skills are mandatory
  • R (especially packages like nlme, ggplot2, dplyr) or similar tools for data wrangling and visualization.
  • Ability to digitalize literature data
  • Ability to construct modeling analysis datasets
• Model-based or standard meta-analysis skills or experiences highly recommended, or demonstrated quick-to-mastery potential in this area
• Strong oral and written communication skills

• 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.

• PhD candidate or recent Post Doc is preferred
• Master degree or Pharm D with demonstrated modeling skills (see above) can be considered too
• Preferred majors/programs:
  • Pharmaceutical Sciences;
  • Clinical Pharmacology, Clinical Pharmacokinetics;
  • Biostatistics or Applied Mathematics in life sciences;
  • Biomedical Engineering

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