Genentech · 11 hours ago
2026 Summer Intern - CS-CoE (Computational Biology & Single-Cell/Spatial Proteomics)
Genentech is a biotechnology company that focuses on developing computational methods for biological insights. The internship involves contributing to methods development for network inference using single-cell and spatial proteomics data.
BiotechnologyLife ScienceManufacturing
Responsibilities
Develop FAVA-X, a cross-modality extension of the FAVA network-inference framework, enabling functional network inference from single-cell and/or spatial proteomics while accounting for modality-specific noise characteristics and missingness
Evaluate VAE-based (and alternative) representation learning approaches to stabilize inferred networks, improve robustness across subsamples, and enable uncertainty quantification of network edges
Design and implement a multimodal network integration strategy (e.g., RNA + protein; single-cell + spatial) and systematically assess whether integration improves edge stability, biological coherence, and interpretability
Build a reproducible benchmarking pipeline using public datasets and standardized evaluation metrics, including reproducibility across data splits, pathway and functional coherence, cell-type specificity, and predictive or held-out validation
Communicate results through a publication-ready methods report, figures suitable for a manuscript or preprint, and a well-documented, reusable codebase (notebooks and/or packaged pipeline)
Qualification
Required
Must have attained a Master's Degree
Must be pursuing a PhD (enrolled student)
Computational Biology, Bioinformatics, Data Science, Statistics, Computer Science, Biomedical Engineering, Systems Biology (or related quantitative field)
Strong Python skills for data analysis (NumPy/Pandas/scverse-ecosystem)
Foundations in statistics and/or machine learning (regression, probabilistic modeling, evaluation)
Experience working with high-dimensional biological data (single-cell preferred)
Ability to write clean, reproducible code (version control, documentation, notebooks/pipelines)
Preferred
Familiarity with representation learning / deep learning (e.g., VAEs; PyTorch/JAX)
Experience with proteomics and/or spatial omics data analysis
Experience with benchmarking and metrics design; comfort with HPC/cluster environments
Excellent communication, collaboration, and interpersonal skills
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion
Any other skills (preferred but not required to have)
Benefits
Paid holiday time off benefits
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Recent News
Labiotech UG
2026-01-17
2026-01-16
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