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2025 Summer Intern - gRED Computational Catalyst
Genentech - South San Francisco, CA
posted 16 days ago
About the position
At Genentech Research & Early Development (gRED), the Computational Catalysts group within the Computational Sciences (gCS) department is a diverse, curious, and action-driven team at the intersection of computation, engineering, and science. We focus on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision-making. By leveraging modern computational approaches, we aim to revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world. Within Computational Catalysts, our team specializes in the practical applications of AI to develop the next generation of tools for scientists and optimize operations. We work on diverse, impactful projects such as streamlining the authoring and review of regulatory documents, enhancing data exploration through chat-driven search, and integrating AI into visualization tools to interpret data and provide contextual insights. Our mission is to deliver scalable, innovative solutions that empower scientists and drive meaningful advancements in medicine.
Responsibilities
- Conducting research and experiments to explore innovative ways of integrating AI into scientific discovery processes.
- Developing and optimizing tools for life sciences applications, focusing on natural language processing (NLP) and vector database techniques.
- Developing robust benchmarking and evaluation frameworks for AI-powered applications.
- Designing and implementing features that improve the usability and effectiveness of large language models (LLMs) within our ecosystem.
- Collaborating with interdisciplinary and cross-functional teams including biologists, engineers, data scientists, and other stakeholders.
Requirements
- Must be pursuing a Bachelor's Degree (enrolled student).
- Must have attained a Bachelor's Degree (not currently enrolled in a graduate program).
- Must be pursuing a Master's Degree (enrolled student).
- Must have attained a Master's Degree.
- Must be pursuing a PhD (enrolled student).
- Must have attained a PhD.
- Proficiency in Python.
- Familiarity with large language models (LLMs) and vector databases.
- Basic knowledge of natural language processing (NLP) techniques and concepts.
- Strong problem-solving abilities and the ability to work independently and collaboratively.
- Interest in contributing to cutting-edge scientific research.
Nice-to-haves
- Understanding of the life sciences or healthcare industries.
- Experience with cloud technologies for hosting scalable AI models.
- Excellent communication, collaboration, and interpersonal skills.
Benefits
- Intensive 12-weeks, full-time (40 hours per week) paid internship.
- 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.
- Paid holiday time off benefits.
