INTERNSHIP DETAILS
2026 Summer Intern - Frontiers Research, Prescient Design
CompanyGenentech
LocationNew York
Work ModeOn Site
PostedFebruary 3, 2026

Internship Information
Core Responsibilities
Interns will participate in cutting-edge research in representation learning and generative modeling, contributing to publications and presenting results at conferences. They will also develop well-documented code to facilitate the adoption of methods.
Internship Type
full time
Company Size
18081
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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About the Role
<h3>The Position</h3><p><b>2026 Summer Intern - Frontiers Research, Prescient Design</b></p><p></p><p><b><b>Department Summary</b></b></p><p></p><p><span>The Frontier Research team within Prescient Design seeks exceptional graduate student interns with a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement research ideas.</span></p><p></p><p><b><span>This on-site/in-person internship position is located in New York, NY. </span></b></p><p></p><p><b><b>The Opportunity</b></b></p><ul><li><p><span>Participate in cutting-edge research in representation learning and generative modeling, and applications to molecular sciences and drug discovery.</span></p></li><li><p><span>Develop well-documented code to facilitate adoption of the methods.</span></p></li><li><p><span>Contribute to and drive publications, present results at internal and external scientific conferences, and make code and workflows open source.</span></p></li></ul><p></p><p><b><b>Program Highlights</b></b></p><ul><li><p><span>Intensive 12-week, full-time (40 hours per week) paid internship.</span></p></li><li><p><span>Program start dates are in May or June 2026.</span></p></li><li><p><span>A stipend, based on location, will be provided to help alleviate costs associated with the internship. </span></p></li></ul><p></p><p><b><b>Who You Are</b></b></p><p></p><p><b>Required Education</b></p><ul><li><p><span>Must be pursuing a PhD (enrolled student).</span></p></li></ul><p></p><p><b><b>Required Majors </b></b><br /><span>Computer Science, Engineering, Applied Mathematics, Computational Biology, Physics or related technical field.</span></p><p></p><p><b><b>Required Skills: </b></b></p><ul><li><p>Excellent and proactive communication, collaboration, and interpersonal skills.</p></li><li><p>Strong background and research experience in machine learning, as demonstrated by publications in conferences such as NeurIPS, ICLR, ICML, CVPR, ICCV/ECCV, ACL, EMNLP etc. </p></li><li><p>Strong programming skills in Python and at least one deep learning framework (preferably Pytorch).</p></li></ul><p></p><p><b><b>Preferred Knowledge, Skills, and Qualifications</b></b></p><ul><li><p>Detailed hands-on experience on building and training state-of-the-art neural networks architectures.</p></li><li><p>Experience with machine learning for sciences (biology/chemistry/health/drug discovery) is desired, but not necessary. </p></li></ul><p></p><p><b>Relocation benefits are not available for this job posting. </b></p><p></p><p>The expected salary range for this position based on the primary location of New York 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.</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 LearningResearchTechnical Problem-SolvingProgrammingPythonDeep LearningCollaborationCommunication
Categories
Science & ResearchTechnologyEngineeringData & Analytics
Benefits
Paid Holiday Time Off
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