Position description:
Calico is seeking an intern to join the Translational Data Sciences team. The Translational Data Sciences team bridges the gap between basic science and clinical application to further Calico’s mission of extending healthy lifespan. It accelerates Calico's translational research and empowers data-driven decision-making by transforming complex data into actionable insights grounded in biology. The successful candidate will be an enthusiastic team player, detail-oriented, extremely organized and comfortable working on complex problems across a wide range of biological contexts. In this position you will extend Calico’s internal AI infrastructure to interface with internal and external sources of single cell sequencing data to enable and accelerate bioinformatics analyses of large-scale datasets for nontechnical users. The successful candidate will work closely with members of the Translational Data Sciences and collaborators in Discovery Technologies and Software Engineering on a broad range of discovery-stage and translational research questions.
Responsibilities:
- Build and/or refine AI agents to enable Calico scientists to query and analyze internal and external data sources of interest
- Coordinate with Software Engineering and relevant stakeholders to deploy the agents on Calico infrastructure for internal usage by Calico scientists
- Demonstrate accelerated AI capacity to compile reference single cell datasets to answer relevant scientific questions such as the determination of an expression profile of aging of brain microglia and elucidation of disease-specific genetic signatures of fibrosis
- Maintain clear and concise documentation of code, project materials, and analysis results
- Concisely communicate intermediate and final results to relevant stakeholders in Calico Computing and Calico R&D
Position requirements:
- Currently pursuing a BS degree in a computationally intensive field (Mathematics, Computer Science, Bioinformatics, Statistics) or related field
- Experience working with Python, Git, Docker, Terraform, and cloud computing platforms such as Google Cloud
- Knowledge of best practices for software development, project management, and code versioning
- Detail-oriented and organized
- Strong teamwork and sharp verbal and written communication skills
- Self-motivated, driven, and intellectually curious with a “can-do” attitude
- Flexible, able to respond quickly to shifting priorities, and able to multitask
Nice to have:
- Experience with prompt engineering and designing AI agents is a plus
About our Program:
Calico’s internship program is a paid 12-week program over the summer for students interested in understanding the fundamental science of aging and finding treatments for the associated and intractable diseases. Working in a collaborative environment and fully embedded in one of our labs/teams, Calico interns tackle a unique project under the mentorship of at least one of our scientists or engineers.
Program Eligibility:- Able to work in-person at our offices in South San Francisco
- Free for a consecutive period of 11-12 weeks in June, July, and August
- Not graduating before December 2026
- Exception for students enrolling into a graduate degree program in Fall 2026
- Must be enrolled in a US university
- Must apply by application deadline: February 1, 2026.
Top Skills
Calico Life Sciences South San Francisco, California, USA Office
1170 Veterans Blvd, South San Francisco, California, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

