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Clinical Pharmacology and Pharmacometrics Intern - Summer

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Johnson & Johnson Innovation
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-05
Job specializations:
  • Healthcare
    Data Scientist, Clinical Research
  • Research/Development
    Data Scientist, Clinical Research
Job Description & How to Apply Below
Position: Clinical Pharmacology and Pharmacometrics Intern - Summer 2027

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

Learn more at

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:
Career Programs Job Sub Function:
Non-LDP Intern/Co-Op Job Category:
Career Program All Job Posting Locations:
Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description

Johnson & Johnson Innovative Medicine is recruiting for multiple Clinical Pharmacology and Pharmacometrics summer interns at its US (Spring House PA, Raritan NJ, Titusville NJ, Cambridge MA and La Jolla CA) sites.

Clinical Pharmacology and Pharmacometrics (CPP) is an integral part of the Global Development organization within Johnson & Johnson Innovative Medicine. CPP scientists collaborate across multidisciplinary - compound development teams, applying clinical pharmacology principles and pharmacometrics methodologies across the R&D portfolio to inform and optimze drug development decisions.

The CPP Summer Internship Program offers students with a strong interest in drug development a unique opportunity to collaborate with clinical pharmacologists and pharmacometricians while gaining hands-on experience in pharmacokinetics/pharmacodynamics (PK/PD), translational modeling, and model-informed drug development (MIDD) within a dynamic pharmaceutical R&D environment.

Our teams build on students’ academic backgrounds while advancing their professional development through firsthand experience in drug development. The program also provides an opportunity to assess the student’s potential for future employment.

CPP summer interns will contribute to diverse Research and Development efforts spanning preclinical to early- and late-stage clinical development across immunology, oncology, neuroscience, cardiopulmonary and metabolic diseases, through activities such as:

  • Clinical Pharmacology and Medical literature review
  • Data analysis of PK, biomarker, preclinical and/or clinical data, trial design, etc.
  • PK and PD model-building and analyses
  • Development of state-of-the-art quantitative methodologies (e.g., population PK/PD, quantitative systems pharmacology [QSP])
  • Model-based meta-analysis (MBMA), advanced data visualization (e.g., RShiny), and machine learning applications integrating publicly reported and in-house data
Qualifications
  • Candidates must be enrolled in an accredited college or university (not necessarily taking classes) 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.
  • Candidates should demonstrate computational proficiency, including experience with data analysis, modelling, and simulation tools such as NONMEM, Phoenix Win Nonlin, Monolix, R, Python, or MATLAB.
  • Candidates must be available to work full-time for at…
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