2027 Future Talent Program – Quantitative Pharmacology & Pharmacometrics – Intern

Job Description

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research and Development Division can provide you with great development and a chance to see if we are the right company for your long-term goals. Our Company Research Lab's 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 - starting at discovery / preclinical investigation, through early-stage clinical trials, to late-stage clinical trials and 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. 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 We are seeking intern candidates with strong academic achievement, excellent communication skills, a collaborative mindset, and the ability to thrive in a multi-disciplinary environment