2027 Future Talent Program – Quantitative Pharmacology & Pharmacometrics – Intern

MSDUpper Gwynedd Township, PA
$39,108 - $111,111Hybrid

About The Position

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.

Requirements

  • 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.
  • Strong academic achievement.
  • Excellent communication skills.
  • Collaborative mindset.
  • Ability to thrive in a multi-disciplinary environment.

Nice To Haves

  • 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
  • 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.

Responsibilities

  • Develop and apply innovative mathematical, physiological, pharmacological, and statistical models that support drug development and advance quantitative capabilities within the organization.
  • Collaborate across multidisciplinary teams.
  • Contribute to scientific presentations and publications.
  • Gain broad exposure to the drug development process.

Benefits

  • Great development opportunities
  • 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
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