2026 Summer Intern - Clinical Pharmacology, Development Science
About The Position
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.
Requirements
- 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.
- 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.
Nice To Haves
- 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.
Responsibilities
- Give a formal presentation at the end of the program
- Organize key research documents for archiving
Benefits
- 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.
- paid holiday time off benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
