2026 Summer Intern - Regev Lab - Bayesian Optimization with LLMs jobs in United States
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Genentech · 11 hours ago

2026 Summer Intern - Regev Lab - Bayesian Optimization with LLMs

Genentech is a leading biotechnology company, and they are seeking a Summer Intern for the Regev Lab focusing on Bayesian Optimization with LLMs. The internship involves developing a unified framework for probabilistic search and LLM suggestions while ensuring reliable behavior and performance guarantees, particularly in high throughput functional genomics data.

BiotechnologyLife ScienceManufacturing
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Comp. & Benefits
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H1B Sponsor Likelynote

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

Advanced PythonBayesian OptimizationLLM IntegrationComputational BiologyResearch RigorScientific CommunicationCollaboration SkillsInterpersonal Skills

Required

Must be pursuing a Master's Degree (enrolled student)
Must be pursuing a PhD (enrolled student)
Required Majors: 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
Computational Biology and Genomic Data (Optional): 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

Genentech

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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 Company
Total Funding
unknown
2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown

Leadership Team

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Ashley Magargee
Chief Executive Officer
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Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
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Company data provided by crunchbase