Roche · 7 hours ago
2026 Summer Intern - Regev Lab - Bayesian Optimization with LLMs
South San Francisco
Internship
Onsite
Intern
$50/hr - $50/hr
Start in 2026 SummerRoche is a biotechnology company, and they are seeking a Summer Intern for the Regev Lab to work on Bayesian Optimization with LLMs. The role involves developing a unified framework that integrates probabilistic search with LLM suggestions and validating the methodology on high throughput functional genomics data.
BiotechnologyHealth CareHealth DiagnosticsOncologyPharmaceuticalPrecision Medicine
Responsibilities
Establishing formal performance guarantees and convergence properties for the proposed methodology
Demonstrating that the framework maintains reliable behavior even when incorporating non-traditional suggestions
Validating the methodology on high throughput functional genomics data where efficient search is critical due to the scale and cost of physical experiments
Developing new methods for automated discovery suitable for submission to machine learning or computational biology venues
Qualification
Required
Must be pursuing a Master's Degree (enrolled student)
Must be pursuing a PhD (enrolled student)
Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Computational Biology, or a closely related field
Advanced Python, ML Frameworks, and Experimental Management: Proficiency in Python and experience managing high-dimensional datasets and computationally intensive optimization loops using cluster or HPC job schedulers (e.g., SLURM) and multi-GPU environments; experience with optimization libraries is preferred (e.g., PyTorch, GPyTorch, BoTorch)
Bayesian Optimization and Probabilistic Modeling: A strong background in Gaussian Processes, acquisition functions, and the theoretical underpinnings of Bayesian optimization, including familiarity with regret-based analysis and convergence proofs
LLM Integration and Agentic Workflows: Experience implementing and evaluating LLM-based agents, specifically for structured knowledge retrieval or hypothesis generation in scientific domains
Research Rigor and Documentation: Proven ability to read and implement complex mathematical and biological research papers, design reproducible experimental pipelines, and document theoretical derivations clearly
Scientific Communication: Strong skills in synthesizing complex results at the intersection of machine learning and biology for presentation to cross-functional research teams
Preferred
Excellent communication, collaboration, and interpersonal skills
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion
Data handling skills relevant to high-throughput screens, including the analysis of single-cell RNA-seq (Perturb-seq) or related transcriptomic data to evaluate model performance
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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