2024 Summer Intern - Quantitative Systems Pharmacology, Modeling and Simulation Group, Department of Clinical Pharmacology

Department Summary

Our mission is to enable selection of a safe and effective dose, route and regimen for small molecules and biologics by applying the principles of quantitative pharmacology throughout a molecule’s life-cycle. We are seeking a full-time summer intern who is driven to use quantitative approaches to understand the Clinical Pharmacokinetics and Pharmacodynamics (PK/PD) of novel drug candidates.

Quantitative systems pharmacology (QSP) models are increasingly used to support clinical trial decisions. Therefore it is necessary for the model to capture the biological and inter-patient variability in the clinical trial population. During the internship, the intern will familiarize with the current state of the QSP workflow and take part in maturing this workflow, specifically, the novel digital twin methodology to generate the virtual clinical trial population.

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

Key Responsibilities

• Development of the automation and standardization of the digital twin virtual population generation methodology

• The models will be primarily implemented in MATLAB (SimBiology toolbox) and associated toolboxes (e.g, Global optimization, Parallel Computing toolboxes..

• Proficiency in MATLAB is required..

• At the end of the program, the summer intern is expected to give a formal presentation 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 (Summer)

• 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 PhD (enrolled student) in Engineering, Mathematics, Pharmaceutical Sciences or other related discipline.

- Modeling and simulation experience is required.

Required skills:

• Rich (3+ years) hands-on experience with MATLAB programming. Proficiency in MATLAB programming is required.

• Strong expertise in modeling and simulation skills (systems biology and/or pharmacology models)

• Have hands-on research project experience in constructing ODE-based models and solving ODE system equations

• The candidate must have excellent communication and interpersonal skills and the ability to work independently and effectively in teams.

Preferred Qualifications

• Experiences with SimBiology toolbox.

• Knowledge in biology and pharmacology, in vitro and in vivo experimental approaches to support drug development are highly desirable

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location for this position in California is $45.00 - $50.00 per 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, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.