Intern - Machine Learning & Systems Pharmacology
South San Francisco, CA 
Posted 6 days ago
Job Description
The Position

Start Date: Summer

Length of Assignment: 3 months, 40/hrs per week, either remote or on site

Preferred Majors/Disciplines: biomedical, chemical, electrical, or mechanical, bioinformatics/computational biology, applied math, computer science or other pharmaceutical sciences

Education Level: M.S/Ph.D/Pharm.D degree in progress

Genentech is looking for a highly motivated graduate student who is interested in the cross-section of deep learning and mechanistic modeling to work as a summer intern with the Quantitative Systems Pharmacology (QSP) group within the Preclinical and Translational Pharmacokinetic/Pharmacodynamic (PKPD) department of Development Sciences.

This is an exciting opportunity to work with QSP scientists on a highly impactful project to predict the PK and PD relationship for novel drugs using Neural Ordinary Differential Equations (Neural ODE) and/or other deep learning methods. For this project, the intern will have the opportunity to work with various in-house QSP models and ML algorithms.


During the project, the intern will become familiar with Genentech's workflow for model development and its contribution to drug development. The research project will be primarily implemented in Python and MATLAB and their associated toolboxes (PyTorch, SimBiology, Machine Learning and Parallel Computing toolboxes) and utilize Genentech's in-house HPC cluster. The summer intern is expected to give a formal presentation at the end of the program. Minimum duration of the internship is for 3 months, however start date and end date timing can be flexible.

Who you are

  • M.S/Ph.D/Pharm.D degree in progress - engineering (biomedical, chemical, electrical, or mechanical), bioinformatics/computational biology, applied math, computer science or other pharmaceutical sciences fields preferred.
  • Someone who is looking to influence your own development.
  • 3+ years of experience with Matlab and/or Python programming
  • Hands-on experience with deep learning algorithms and ODE modeling
  • Strong interpersonal and oral/written communication skills
  • Applicants must be currently enrolled in an academic program

  • Job Sub Category

    Early Development Science

  • Schedule

    Full time

  • Job Type

    Temporary (Fixed Term)

  • Posted Date

    Jan 22nd 2022

  • Job ID


Roche is an Equal Opportunity Employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status.


Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Education
Required Experience
3+ years
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