INTERNSHIP DETAILS
2026 Summer Intern - gCS AIDD
CompanyGenentech
LocationDaly City
Work ModeOn Site
PostedJanuary 30, 2026

Internship Information
Core Responsibilities
Participate in cutting-edge research in machine learning and its applications to drug discovery. Develop well-documented code and present results for publication at scientific conferences.
Internship Type
full time
Company Size
18073
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
About Genentech
We're passionate about finding solutions for people facing the world's most difficult-to-treat conditions. That is why we use cutting-edge science to create and deliver innovative medicines around the globe. To us, science is personal.
Making a difference in the lives of millions starts when you make a change in yours. If you’d like to join our team, view our openings at gene.com/careers.
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Monday-Friday, 6am-5pm PST or patientinfo@gene.com.
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Because of the fair balance rules governing our industry, we cannot post any comments that reference any pharmaceutical brand, product, or service. Please do not mention any specific medicines by name, or include any links to third party sites in your comments.
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This site is not intended as a forum for reporting side effects experienced while taking a Genentech product. Instead, you should report any side effects to Genentech Drug Safety at 1-888-835-2555. You can also report side effects of any prescription product directly to the FDA at 1-800-FDA-1088 or by visiting www.FDA.gov/medwatch.
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About the Role
<h3>The Position</h3><p><b>2026 Summer Intern - gCS AIDD</b><br /><br /><b>Department Summary</b></p><p></p><p><a href="https://www.gene.com/scientists/our-scientists/prescient-design" target="_blank"><span><span><u><span>Prescient Design</span></u></span></span></a><span><span><span> is seeking exceptional graduate interns with strong research experience in machine learning (ML) and a passion for applying advanced algorithms to scientific discovery. Our team develops state-of-the-art ML methods to accelerate drug design. This internship focuses on Protein Language Models and the understanding of long-range interactions, positional inductive biases and the impact of multimodal data on the internal representations. </span></span></span></p><p></p><p><span><span><span>Intern candidates should have a strong interest in Protein Language Models (Attention), Graph Neural Networks and the impact of Positional Biases. The ideal intern is comfortable conducting independent research, rapidly prototyping ideas, and collaborating with multidisciplinary scientists.</span></span></span></p><p></p><p><span><span><span>This internship position is located in </span><b><span>South San Francisco, California On Site. </span></b></span></span></p><p></p><p><span><span><b><span>Key Responsibilities</span></b></span></span></p><ul><li><p><span><span><span>Participate in cutting-edge research in ML, and applications to drug discovery.</span></span></span></p></li><li><p><span><span><span>Develop well-documented code to facilitate adoption of the method.</span></span></span></p></li><li><p><span><span><span>Present results in the form of a publication, for submission to internal and external scientific conferences.</span></span></span></p></li></ul><p><span><span><span> </span></span></span></p><p><span><span><b><span>Program Highlights</span></b></span></span></p><ul><li><p><span><span><span>Intensive 12-week, full-time (40 hours per week) paid internship.</span></span></span></p></li><li><p><span><span><span>Program start dates are in May/June (Summer).</span></span></span></p></li><li><p><span><span><span>A stipend, based on location, will be provided to help alleviate costs associated with the internship.</span></span></span></p></li><li><p><span>Work with some of the most talented people in the biotechnology industry.</span></p></li></ul><p><span><span><span> </span></span></span></p><p><span><span><b><span>Who You Are</span></b></span></span></p><p></p><p><span><span><b><span>Required Education</span></b></span></span></p><p><span><span><span>Current Ph.D. student </span></span></span></p><p><span><span><span><b></b></span></span></span></p><p><span><span><span><b>Required Majors</b><br /></span></span></span><span><span><span>Computer Science, Engineering, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry, Physics, or related technical field.</span></span></span></p><p></p><p><span><span><b><span>Required Skills</span></b></span></span></p><ul><li><p><span><span><span>Strong publication record or evidence of impactful research contributions (e.g., NeurIPS, ICML, ICLR, AISTATS, TMLR, CVPR, ICCV/ECCV) </span></span></span></p></li><li><p><span><span><span>Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, JAX)</span></span></span></p></li><li><p><span><span><span>Experience in at least one of the following areas: </span></span></span> <br />- <span><span><span>Large Language/Foundational models </span></span></span> <span><span><span>- Graph neural networks or molecular representation learning</span></span></span></p></li></ul><p></p><p><span><span><b><span>Preferred Skills</span></b></span></span></p><ul><li><p><span><span><span>Experience with mathematical foundations of language models</span></span></span></p></li><li><p><span><span><span>Familiarity with molecular modeling, cheminformatics, or drug discovery applications</span></span></span></p></li><li><p><span><span><span>Contributions to open-source ML frameworks or reproducible research environments</span></span></span></p></li><li><p><span><span><span>Excellent communication, collaboration, and interdisciplinary working skills</span></span></span></p></li></ul><p><span><span><span> </span></span></span></p><p><span><span><b><span>Relocation benefits are not available for this job posting. </span></b></span></span></p><p><span><span><span>The expected salary range for this position based on the primary location of the state of California is $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.</span></span></span></p><p style="text-align:inherit"></p><p style="text-align:left"><span>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.</span></p><p style="text-align:inherit"></p><p style="text-align:left"><span>If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form <a target="_blank" href="https://docs.google.com/forms/d/e/1FAIpQLSdZWlsbfQOvFVIQgHE_iDzWUTlhZvj6FytIzjS7xq6IGh1H5g/viewform">Accommodations for Applicants</a>.</span></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>
Key Skills
Machine LearningProtein Language ModelsGraph Neural NetworksPythonPyTorchTensorFlowJAXResearchDrug DiscoveryCollaborationCommunicationMathematical FoundationsMolecular ModelingCheminformaticsOpen-source ContributionsInterdisciplinary Skills
Categories
Science & ResearchTechnologyEngineeringHealthcareData & Analytics
Benefits
Paid Holiday Time Off
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