2027 Spring Intern - OpRegen Machine Learning at Genentech · South…

Summary: Genentech is a biotechnology company developing cell therapy manufacturing and machine learning tools for biological research. The intern will analyze imaging data for correlations between cell morphology and phenotypic properties, automate model deployment, build visualization tools, and collaborate with computational, laboratory, process development, manufacturing, and research teams.

Responsibilities:
- 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

Required Qualifications:
- 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
- Any quantitative or engineering discipline, such as computer science, data science, biomedical engineering, computational biology or physics
- 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 Qualifications:
- Excellent communication, collaboration, and interpersonal skills
- Image analysis
- PyTorch
- High-performance computing (SLURM)

Required Skills: Machine Learning, Deep Learning, Python, Computer Vision, Statistics, Data Analysis, MLOps, Data Visualization, Git, Image Analysis, PyTorch, High-Performance Computing, SLURM

Internship Start Date: Start in 2027 Spring

Benefits: Intensive 6 months, full-time (40 hours per week) paid internship., A stipend, based on location, will be provided to help alleviate costs associated with the internship., This position also qualifies for paid holiday time off benefits.