Summer 2026 - PK/PD intern

Johnson & Johnson Innovative MedicineSpring House, PA
1d

About The Position

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 MedTech, 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 https://www.jnj.com/innovative-medicine Overview Johnson & Johnson Innovative Medicine is seeking a PhD‑level intern to support quantitative modeling for novel therapeutic modalities and within the Translational PK/PD organization. The intern will work with cross‑functional scientists to analyze data, build models, and generate insights supporting translational strategy for autoimmune disease programs.

Requirements

  • Current PhD student in Pharmacometrics, Systems Pharmacology, Immunology, Biomedical/Chemical Engineering, Computational Biology, or related field.
  • Experience with PK/PD or systems modeling (R, Python, MATLAB, or similar).
  • Strong scientific, quantitative, and communication skills.
  • 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.
  • Students currently on CPT, OPT, or STEM OPT usually requires 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.

Responsibilities

  • Conduct literature searches and extract publicly available datasets relevant to a novel modality in autoimmune indications.
  • Identify exposure–response metrics and support development of empirical and/or mechanistic models for novel modality system behavior.
  • Analyze nonclinical PK datasets to determine empirical scaling factors for human dose projections.
  • Develop and evaluate quantitative hypotheses to determine PD benchmarks required for functional cure for novel treatment modality.
  • Summarize findings and present results to project and functional teams.
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