2027 Spring Intern - OpRegen Machine Learning
Department Summary
The OpRegen ML team develops machine learning tools that help us understand the biology behind the OpRegen manufacturing process and give our teams objective, quantitative metrics where today we rely on infrequent and subjective observation. OpRegen is an allogeneic hESC-derived cell therapy in development for geographic atrophy (advanced dry AMD), manufactured through hESC expansion, RPE differentiation, and RPE expansion. We're building ML models to capture cell morphology from routine microscopy images, non-invasively and at scale.
This internship position is located in South San Francisco, on-site.
The Opportunity
This internship centers on our in-house morphology capability, a platform we call Cellestial. The core opportunity is to turn generated imaging data into insight - running our models across the images and exploring the results for correlations with phenotypic properties - and to help extend the capability further.
The intern will work closely with our computational team and with the wet-lab, Process Development, and gRED scientists who generate the data and act on the results. This internship offers the opportunity to shape the specifics around the intern's strengths and interests, anchored to the core deliverable of analyzing the already obtained images.
Data analysis and insight - exploring the imaging data for correlations between morphological features and phenotypic properties, and reporting the findings
Model deployment and automation - helping automate inference on new data using our compute infrastructure, so results are generated as data arrives
Visualization and tooling - building tools to explore results and connect them back to their experimental context
Translation to the process - working with our lab, Process Development, and manufacturing partners to identify the metrics that matter most
Applied research - collaborating with research scientists on questions the morphology data can help answer
Data annotation and modeling - annotating additional imaging data and contributing to related model work
Program Highlights
Intensive 6 months, full-time (40 hours per week) paid internship.
Program start dates are in January 2027 (Spring).
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
You meet one of the following criteria:
Must be pursuing or have attained an Associate's Degree.
Must be pursuing a Bachelor's Degree (enrolled student).
Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).
Must be pursuing a Master's Degree (enrolled student).
Must have attained a Master's Degree.
Required Majors: Any quantitative or engineering discipline, such as computer science, data science, biomedical engineering, computational biology or physics.
Required Skills:
A solid understanding of machine learning and deep learning fundamentals, with substantial hands-on experience required.
Strong Python, and comfortable working in a complex and mature codebase and a shared Git repository.
Genuine strength in at least one of: computer vision, statistics and data analysis, software engineering and MLOps, or data visualization and tooling.
Curious, coachable, and able to work independently, comfortable with some ambiguity and with helping shape their own work.
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.
Image analysis.
PyTorch.
High-performance computing (SLURM).
Relocation benefits are not available for this job posting.
The expected salary range for this position based on the primary location of California is $26.00-$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. 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.
Skills Required
- Pursuing or attained an Associate's Degree
- Pursuing a Bachelor's Degree as an enrolled student
- Attained a Bachelor's Degree and not currently enrolled in a graduate program
- Pursuing a Master's Degree as an enrolled student
- Attained a Master's Degree
- Major in a quantitative or engineering discipline, such as computer science, data science, biomedical engineering, computational biology, or physics
- Solid understanding of machine learning and deep learning fundamentals with substantial hands-on experience
- Strong Python skills
- Comfort working in a complex, mature codebase and shared Git repository
- Strength in at least one of computer vision, statistics and data analysis, software engineering and MLOps, or data visualization and tooling
- Curious, coachable, able to work independently, comfortable with ambiguity, and willing to shape the work
- Excellent communication, collaboration, and interpersonal skills
- Alignment with company values of Integrity, Courage, and Passion
- Knowledge of image analysis
- Knowledge of PyTorch
- Knowledge of high-performance computing and SLURM
Genentech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genentech and has not been reviewed or approved by Genentech.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, vision, mental health, and prescriptions, supported by HSAs/FSAs and broad wellness resources. On‑site fitness and health centers, mental‑health clinicians, and specialized programs like fully covered preventive cancer screenings and menopause support deepen the offering.
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Retirement Support — Retirement benefits feature a 401(k) with up to a 4% company match plus an additional annual 6% company contribution to eligible pay. Additional financial protections such as life and accident insurance complement salary, bonuses, and stock options.
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Leave & Time Off Breadth — Time away includes about 20 paid vacation days, paid holidays, personal days, and a year‑end shutdown. A paid six‑week sabbatical every six years notably expands long‑term time‑off flexibility.
Genentech Insights
What We Do
Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 40 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. 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.
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