2026 Summer Intern - Computational Sciences Center of Excellence

Genentech•Daly City, CA

1d•$24 - $46•Onsite

About The Position

2026 Summer Intern - Computational Sciences Center of Excellence Department Summary Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new computational sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organisation, the Data and Digital Catalyst organisation drives the modernisation of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. This position is based in South San Francisco, CA, On-Site. The Opportunity Analyze data-policy questions from scientists and data managers to identify trends and determine where new guidance, tools, or explanations are needed. Develop clear informational materials and scientist-friendly resources that translate global data policies (e.g., data usage, data sharing requirements, AI/ML governance) into practical guidance. Communication with Roche global data policy experts to seek advice when advisory materials are unclear. Communication with teammates via Slack / Google Chat / meetings to discuss proposals and review materials. Communication with data providers and scientists, via email and in meetings, to discuss materials and understand and answer their queries. Design and refine informational materials and interactive toolings (e.g., chatbots) that help scientists quickly find and understand data usage requirements—streamlining compliance and enabling faster research. Program Highlights Intensive 6 month, full time (40 hours per week) paid internship. Program start date is May 18 (preferred) or June 1, 2026. 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.

Requirements

Required Education: You meet one of the following criteria: Must be pursuing or have attained an Associate's Degree Must be pursuing a Bachelor's degree or must have attained a Bachelor's degree (recent graduates not currently enrolled in a grad program) Must be pursuing a Master's degree or must have attained a Master's degree Must be pursuing a PhD
Required majors: International Affairs, Public Policy, Public Health, Business, Biology, Chemistry, or similar programs.
The candidate must be available to participate in early morning meetings to coordinate with team members and other colleagues based in Europe (as early as 7am PDT; meetings before 9am may be taken remotely).
Excellent written communication skills, verbal communication/presentation skills, interpersonal skills and empathy for users.
Previous experience analyzing and interpreting policy guidelines, and tailoring communications for different audiences.
Previous coordination experience in a non-classroom setting (such as via extracurricular activities or a job).
Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

Responsibilities

Analyze data-policy questions from scientists and data managers to identify trends and determine where new guidance, tools, or explanations are needed.
Develop clear informational materials and scientist-friendly resources that translate global data policies (e.g., data usage, data sharing requirements, AI/ML governance) into practical guidance.
Communication with Roche global data policy experts to seek advice when advisory materials are unclear.
Communication with teammates via Slack / Google Chat / meetings to discuss proposals and review materials.
Communication with data providers and scientists, via email and in meetings, to discuss materials and understand and answer their queries.
Design and refine informational materials and interactive toolings (e.g., chatbots) that help scientists quickly find and understand data usage requirements—streamlining compliance and enabling faster research.