2027 Future Talent Program – Quantitative Pharmacology & Pharmacometrics – Intern

About the Role

The Quantitative Pharmacology & Pharmacometrics (QP2) group within the Translational Medicine department is seeking highly motivated students for the 2027 Summer Internship Program. QP2 provides mathematical modeling, simulation, and pharmacokinetic/pharmacodynamic (PK/PD) analysis to enable drug development decisions across the pipeline—from discovery and preclinical investigation through early- and late-stage clinical trials to drug registration. As a QP2 intern, you will work closely with experienced scientists and mentors to develop and apply innovative mathematical, physiological, pharmacological, and statistical models that support drug development and advance quantitative capabilities within the organization. Interns will have opportunities to collaborate across multidisciplinary teams, contribute to scientific presentations and publications, and gain broad exposure to the drug development process.

Project Areas

A wide variety of scientific projects will be available to interns, on topics such as (but not limited to):

• Pharmacometrics (PopPK, PK/PD Modeling, ER Analysis)
• Physiologically based Pharmacokinetics (PBPK)
• Translational modeling
• Semi-mechanistic modeling
• Interactive visualizations for modeling & simulation
• Automation and scaling of modeling analyses for rapid decision-making
• Machine learning and data science applications in clinical pharmacology
• Leveraging agentic AI workflows to solve drug development challenges

Required Qualifications

• Currently enrolled in a PhD or MS degree program in Pharmacometrics, Clinical Pharmacology, Clinical PK/PD, Mathematics/Applied Mathematics, Pharmaceutical Sciences, Statistics, Bioengineering, Chemical Engineering, Computer Science, or related areas
• Available to work full-time for 10 to 12 consecutive weeks beginning in May or June of 2027

Preferred Qualifications

• Experience with programming languages such as R, NONMEM, MATLAB, Monolix, SAS, Phoenix NLME, Python
• Understanding of pharmacometric workflows, including: data wrangling and quality control, model development and diagnostics, clinical trial simulation, exposure-response analysis, report generation and regulatory documentation
• Excellent communication skills
• Strong computational, analytical, and problem-solving skills
• Familiarity with concepts such as Gen-AI, multi-agent workflows, tool orchestration, and retrieval-augmented generation (RAG)
• Familiarity with software engineering best practices, including version control (Git) and code review

What You Will Gain

• Strong understanding of clinical pharmacology and drug development principles
• Hands-on experience applying quantitative methods to solve real-world drug development challenges
• Mentorship from leading scientists in pharmacometrics and quantitative clinical pharmacology
• Exposure to cross-functional collaboration within a global pharmaceutical research organization
• Opportunities to contribute to scientific publications and conference presentations

Pay

The salary range for this role is $39,108 through $111,111.