Clinical Pharmacology and Pharmacometrics Intern
Johnson & Johnson Innovative Medicine
Posted 13 Nov 2026, 09:50 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Patient careData analysisMachine learningData visualizationStatisticsPython
- Work
- On-site in Spring House · internship
- Pay
- Not stated by the employer.
- Skill demand
- Patient care57%Data analysis13%Data visualization7%Machine learning5%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 13, 2026 · still open
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About the Role
Johnson & Johnson Innovative Medicine is seeking multiple Clinical Pharmacology and Pharmacometrics summer interns at its US sites. The Clinical Pharmacology and Pharmacometrics (CPP) group is a vital part of the Global Development organization, collaborating with compound development teams to apply clinical pharmacology principles and pharmacometrics methodologies across the R&D portfolio to inform and optimize drug development decisions.
The CPP Summer Internship Program offers students a unique opportunity to:
- Collaborate with clinical pharmacologists and pharmacometricians.
- Gain hands-on experience in pharmacokinetics/pharmacodynamics (PK/PD), translational modeling, and model-informed drug development (MIDD).
- Work within a dynamic pharmaceutical R&D environment.
- Advance professional development through firsthand experience in drug development.
- Provide an opportunity to assess potential for future employment.
Key Responsibilities
CPP Summer Interns will contribute to research and development efforts across preclinical to early- and late-stage clinical development in areas including Immunology, Oncology, Neuroscience, Cardiopulmonary, and Metabolic Diseases. Activities may include:
- Clinical Pharmacology and Medical literature review.
- Data analysis of PK, biomarker, preclinical and/or clinical data, and trial design.
- PK and PD model-building and analyses.
- Development of quantitative methodologies such as population PK/PD and quantitative systems pharmacology (QSP).
- Model-based meta-analysis (MBMA), advanced data visualization (e.g., R Shiny), and machine learning applications integrating publicly reported and in-house data.
Requirements & Tech Stack
- Candidates must be enrolled in an accredited college or university pursuing a MS, PharmD, PhD, MD or similar degree in a life sciences-related discipline such as Pharmacology, Pharmacometrics, Pharmaceutical Sciences, Molecular or Computational Biology, Biophysics, Biostatistics, Mathematics, Engineering, or Medicine.
- Demonstrated computational proficiency, including experience with data analysis, modeling, and simulation tools such as NONMEM, Phoenix WinNonlin, Monolix, R, Python, or MATLAB.
- Must be available to work full-time for at least 12 weeks between May – September 2027.
- Must be detail-oriented, highly organized, and capable of managing multiple tasks efficiently.
- Must possess strong communication and presentation skills.
- Must have the ability to work independently as well as collaboratively within a team.
- Must be eligible to work in the US for the entirety of the internship period and will be required to provide proof of work authorization.
- Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.
- Remote work flexibility may be available.
- Housing stipend will be available.
Qualifications
Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.