2025 Fall Intern - Machine learning for Generative AI

Department Summary

The Department of Translational Medicine leads biomarker discovery and development efforts for programs in Early Stage Research through Phase III clinical trials. We use relevant pharmacodynamic biomarkers to evaluate target-engagement and mechanism of action of candidate therapies as well as prognostic biomarkers to guide patient selection.

Our department is responsible for developing biomarker strategies, designing and implementing biomarker assays, and interpreting biomarker results. Biomarker team leaders within the department provide scientific leadership on biomarkers for clinical trials ranging from early proof-of-concept through global Phase III. We are currently seeking a highly-motivated intern to provide computational support on clinical development projects in Lupus. Specifically, the candidate would support the data analysis of pharmacodynamic and clinical biomarker data from various clinical studies to understand the investigational drug’s impact on relevant immunological and pathological processes.

This internship position is located in South San Francisco, California, on site. 

The Opportunity

We seek a highly motivated intern to join the Computational Sciences organization in Genentech Research and Early Development (gRED). Our group is dedicated to leveraging AI to accelerate drug discovery and target discovery efforts. Our work spans across autonomous agent design and evaluation, large-scale foundation models, with a strong emphasis on scientific discovery, drug development, and complex decision-making pipelines.

Responsibilities:

• Research, design, and implement novel cutting-edge evaluations for agentic systems with applications to drug discovery.

• Drive research on (large-scale) generative AI methods solving computational biology challenges.

• Collaborate with cross-functional teams to evaluate LLM based agents and deploy it into impactful applications for drug discovery and target discovery.

• Opportunity to contribute to publications, presenting results at internal and external scientific conferences.

Program Highlights

• Intensive 12-weeks or 6 months, full-time (40 hours per week) paid internship.

• Program start dates are in September.

• A stipend, based on location, will be provided to help alleviate costs associated with the internship. 

• Ownership of challenging and impactful business-critical projects.

• Work with some of the most talented people in the biotechnology industry.

Who You Are

Required Education 

You meet one of the following criteria:

• Must have attained a Master's degree or

• Must be pursuing a PhD (enrolled student)

Required Majors

Machine learning, Artificial Intelligence, Bioinformatics, Computational biology or related fields

Required Skills

• Expertise in Generative AI and LLMs.

• Advanced programming skills in Python, with experience in frameworks such as LangGraph, LangChain, and Requests.

• Knowledge of computational and statistical methods used in biological data analysis.

• Passionate about developing scalable, efficient, and well-documented software.

• Excellent communication and teamwork skills.

Preferred Qualifications

• Familiarity with AI agents, RAG and fine-tuning methods (e.g., SFT, RLHF, RL with experimental feedback), prompt engineering, and LLM calibration techniques.

• Familiarity with R programming, Bioconductor, and computational biology pipelines.

• Familiarity with ML topics such as uncertainty quantification, conformal prediction, or offline RL.

• Publication record in top ML conferences (e.g., NeurIPS, ICML, ICLR).

• Knowledge of biological domains such as target discovery.

Relocation benefits are not available for this job posting. 

The expected salary range for this position based on the primary location of  California is $50.00 hour.  Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.