Roche · 11 hours ago
2026 Summer Intern - CS-CoE (Computational Biology & Single-Cell/Spatial Proteomics)
South San Francisco
Internship
Onsite
Intern
$50/hr - $50/hr
Start in 2026 SummerRoche is a leading biotechnology company, and they are seeking a Summer Intern for their Computational Biology & Single-Cell/Spatial Proteomics team. The intern will develop computational methods for network inference using single-cell and spatial proteomics data, contributing to a publication-quality methods study and an analysis pipeline.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
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
Roche
Roche is a pharmaceutical and diagnostics company that offers medicines and diagnostic tests for various medical conditions and diseases.
Founded in 1896
10001+ employees
H1B Sponsorship
Roche 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 (12)
2024 (9)
2023 (6)
2022 (2)
2021 (2)
Funding
Current Stage
Public CompanyTotal Funding
$7.79BKey Investors
SoftBankSCALE AINovartis
2021-08-04Post Ipo Equity· $5B
2020-12-07IPO
2020-05-06Post Ipo Equity· $0.5M
Leadership Team
Alan Hippe
Member of the Executive Board - Group CFO
Christine Bakan
Global Head and VP of Software and Bioinformatics, Next Generation Sequencing
Recent News
GlobeNewswire
2026-01-19
Labiotech UG
2026-01-17
Company data provided by crunchbase