2026 Summer Intern - Clinical Pharmacology, Development Science

2026 Summer Intern - Clinical Pharmacology, Development Science

Department Summary

This position is at the modeling and simulation group, Department of Clinical Pharmacology, Genentech. We are seeking for a highly motivated full-time summer intern to apply advanced modeling and simulation techniques including translational modeling and quantitative systems pharmacology/toxicology modeling to enable quantitative translation of literature, in vitro and preclinical data to inform the drug design, clinical dosing regimen and optimal therapeutic windows of therapeutic agents.

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

The Opportunity

• During the project, the intern will become familiar with Genentech's workflow for quantitative systems pharmacology / toxicology (QSP/QST) model development and its contributions to clinical drug development key decision making.

• This research project is aiming for building physiological-based pharmacokinetic pharmacodynamic (PBPK/PD) and QSP/QST models to enable translation of in vitro and preclinical pharmacology / toxicology data for informing the drug design and clinical dosing regimen.

• The models will be primarily implemented in MATLAB (SimBiology toolbox) and associated toolboxes (e.g, Global optimization, Parallel Computing toolboxes) for model development, parameter estimation and virtual population simulation.

• Having hands-on experience for systems biology / pharmacology modeling, proficiency in MATLAB programming and a strong understanding of immunology are required. Proficiency in other programming languages (e.g., R, Python, Julia, Mathematica) and PK/PD modeling tools (e.g., Monolix) are nice to have.

• The summer intern is expected to give a formal presentation at the end of the program and organize key research documents for archiving.

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 Education:

• Must be pursuing a PhD (enrolled student).

Required Majors: Quantitative Systems Pharmacology, Quantitative Systems Toxicology, Computational Systems Biology, Mathematical Biology, Pharmacokinetics and Pharmacodynamics, Biomedical Engineering, Chemical Engineering and other related fields.

Required Skills:

• The intern should have hands-on research project experience in constructing ODE-based models and solving ODE system equations using adequate toolboxes; ability for comprehensive literature search, generating modeling hypotheses, summarizing modeling insights to key answers for the original research questions.

• Demonstrated high proficiency in MATLAB programming and a strong understanding of immunology.

• Knowledge in biology and pharmacology, in vitro and in vivo experimental approaches to support drug development, experiences with SimBiology toolbox and other programming languages 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.

• The candidate must be enthusiastic to learn new skills and knowledge needed by the project quickly, and have the ability to work independently and effectively in cross-functional teams.

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.