2026 Summer Intern - Translational Medicine, Ophthalmology Biomarker Develo at Genentech

Daly City, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Feb, 26

Salary

50.0

Posted On

22 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Ophthalmology, Optometry, Vision Science, Statistical Analysis, Data Interpretation, Communication, Collaboration, Interpersonal Skills, Programming, R, Analytical Tools

Industry

Biotechnology Research

Description

The Position 2026 Summer Intern - Translational Medicine, Ophthalmology Biomarker Development Department Summary The Translational Medicine OMNI Biomarker Development department at Genentech provides translational science support to inform the clinical development of novel personalized therapeutics in disease areas of Ophthalmology, Metabolism, Neuroscience, Immunology and Infectious Diseases (OMNI). Our biomarker strategies are designed to study the molecular pathways driving the disease and to establish the mechanism of action of our therapeutics. We focus on prognostic, predictive and pharmacodynamic biomarkers to enable our vision of “the right drug for the right patient at the right dose.” This internship position is located in South San Francisco, on site. The Opportunity Lead a research project exploring the relationship between retinal imaging biomarkers and clinical outcomes in retinal vascular diseases. Analyze large clinical trial datasets to uncover insights into disease mechanisms and treatment response. Gain an in-depth understanding of retinal disease pathophysiology and how imaging biomarkers support drug development and clinical decision-making. Effectively communicate and present findings to a cross-functional audience of scientists and clinicians across the organization. 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. Who You Are Required Education You meet one of the following criteria: Must be pursuing a Master's Degree (enrolled student). Must be pursuing a PhD (enrolled student). Required Majors: Vision Science, Optometry, Ophthalmology, Neuroscience, Biomedical Engineering, or related field. Required skills: Demonstrated interest or prior experience in Ophthalmology, Optometry, or Vision Science research. Basic understanding of statistical analysis and data interpretation. Preferred Knowledge, Skills, and Qualifications Excellent communication, collaboration, and interpersonal skills. Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion. Programming experience in R or similar analytical tools is a plus. Along with the submission of your CV, a cover letter is optional. Relocation benefits are not available for this job posting. The expected salary range for this position based on the primary location for this position 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. 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. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Responsibilities

Lead a research project exploring the relationship between retinal imaging biomarkers and clinical outcomes in retinal vascular diseases. Analyze large clinical trial datasets to uncover insights into disease mechanisms and treatment response.