Roche · 12 hours ago
2026 Summer Intern - Regev Lab - Grammar Governing
South San Francisco
Internship
Onsite
Intern
$50/hr - $50/hr
Start in 2026 SummerRoche is a leading biotechnology company, and they are seeking a graduate student intern for the Regev Lab. The role involves developing computational models for molecular design using machine learning techniques and working with experimental datasets to uncover biological structures.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
Responsibilities
Design and train models that learn the latent 'grammar' governing molecular function for our system of interest
Explore representation learning approaches for molecular design
Investigate tradeoffs between foundation-scale models and structured task-specific models
Develop insights that inform both model construction and experimental strategy
Opportunity for experimental validation of model-derived hypotheses, grounding model behavior in measurable biological outcomes
Qualification
Required
Must be pursuing a PhD (enrolled student)
Strong foundation in machine learning or a related quantitative field, with experience training and evaluating models on real, noisy datasets
Excellent programming skills in Python and common deep learning frameworks (e.g. PyTorch, TensorFlow, or equivalent)
Experience working with structured or high-dimensional data (e.g., sequences, graphs, or other relational representations)
Experience conducting rigorous analysis and interpreting model behavior, including ability to reason about model generalization and extrapolation and diagnosing model limitations and failure modes
Ability to work independently in a fast-paced research environment and clearly communicate technical results in writing and presentations; strong motivation, intellectual curiosity, and eagerness to learn through feedback and iteration
Preferred
Excellent communication, collaboration, and interpersonal skills
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion
Experience with representation learning, including learning latent or compositional features from structured data
Experience with sequence- and/or structure-based modeling (e.g., CNNs, transformers, protein language models)
Familiarity with combinatorial or design-oriented modeling problems, where generalization beyond observed data is critical
Interest in or experience with molecular or biological data, such as protein sequences or molecular structures
Prior research experience in machine learning, computational biology, or a related quantitative field
Track record publishing in ML/Comp Bio conferences (ICLR/ICML/NeurIPS/MLCB, etc)
Interest in connecting modeling insights to experimentally testable hypotheses
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 Group Vice President, Computational Science and Informatics R&D
Recent News
2026-02-03
2026-02-03
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