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2026 Summer Intern - Translational Pharmacokinetics and Pharmacodynamics

Genentech

Genentech

South San Francisco, CA, USA
Posted on Dec 6, 2025

The Position

2026 Summer Intern - Translational Pharmacokinetics and Pharmacodynamics

Department Summary

This intern position is in the Translational PKPD (tPKPD) Department within Development Sciences. The tPKPD department applies preclinical models (in silico, in vitro or in vivo) to determine the pharmacokinetics (what the body does the drug) and/or pharmacodynamics (what the drug does to the body) of our biotherapeutics. The tools used by tPKPD can be based in a computational setting and/or laboratory setting depending on the questions being asked and hypotheses being tested. The information obtained from this work may be used to help select lead molecules, optimize dosing regimens or understand the PK behavior/metabolic fate of different molecular designs as we help advance molecules through stages of research and into early clinical development. The work within the tPKPD department spans across a wide range of disease areas, including oncology, immunology, ophthalmology, and neuroscience.

This internship position is located in South San Francisco, CA, on-site.

The Opportunity

As a member of the tPKPD Modeling and Simulation team, you will:

  • Be a highly motivated candidate interested in mechanistic modeling.

  • Develop, calibrate, simulate, and analyze Quantitative Systems Pharmacology (QSP) models of bispecific antibodies to influence key stakeholders.

  • Integrate datasets from multiple sources to estimate model parameters.

  • Work closely with experts in oncology to align on interpretation of model predictions.

  • Present your work to leadership at the conclusion of the internship.

Program Highlights

  • Intensive 12-weeks, full-time (40 hours per week) paid internship.

  • Program start dates are in May/June 2026.

  • A stipend, based on location, will be provided to help alleviate costs associated with the internship.

  • Ownership of challenging and impactful business-critical projects.

  • Work with some of the most talented people in the biotechnology industry.

Who You Are (Required)

Required Education:

  • Must be pursuing a Ph.D (enrolled student).

Required Majors: Modeling field – Chemical Engineering, Biomedical Engineering, Bioinformatics/Computational Biology, Applied Mathematics, Computer Science or other Pharmaceutical Sciences fields.

Required Skills:

  • 2+ years of hands-on experience with Matlab/Simbiology, R, Python, or other ordinary differential equation software. Familiarity with version control platforms is a plus.

  • Strong interpersonal and oral/written communication skills with high attention to detail are required.

Preferred Knowledge, Skills, and Qualifications

  • Excellent communication, collaboration, and interpersonal skills.

  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

  • Expertise in modeling as demonstrated by publications or oral/poster presentations at relevant conferences.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location of California is $50.00 hour. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.