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Calico Life Sciences

Intern, Machine Learning and Genomics (MS/PhD)

Posted 18 Hours Ago
Be an Early Applicant
In-Office
South San Francisco, CA
45-70 Hourly
Internship
In-Office
South San Francisco, CA
45-70 Hourly
Internship
Intern will develop machine learning models for regulatory genomics, validate predictions with scientists, and communicate findings through publications and presentations.
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Position description:

Calico is seeking an intern to join the Kelley Lab. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized and comfortable working on complex problems. In this position you will advance on machine learning approaches for regulatory genomics, particularly developing and evaluating methods for analyzing regulatory sequence functions. The successful candidate will work closely with members of the Kelley lab, driving a project that we’ll shape together to derive greater biological insight from deep learning models of gene regulation.

Responsibilities: 

  • Develop and evaluate machine learning models for regulatory genomics, focusing on model interpretability
  • Collaborate with experimental scientists to validate computational predictions and derive biological insights from large-scale functional genomics data
  • Communicate research to the broader scientific community through peer-reviewed publications, conference presentations, and open-source software

Position requirements:

  • Currently pursuing a MS or PhD degree in Computer Science, Computational Biology, Bioinformatics, or a related quantitative field
  • Fluency in Python and practical experience building models with deep learning frameworks (PyTorch preferred)
  • Strong computational fundamentals including machine learning, algorithms, data structures, and statistics
  • Self-motivated and detail-oriented with a collaborative mindset for working in cross-functional scientific teams
  • Strong written and verbal communication skills, with an ability to present complex technical topics to scientific audiences

Nice to have:

  • Knowledge of molecular biology, genetics, or regulatory genomics
  • Experience analyzing functional genomics data
  • Experience working with DNA sequence models

Application Note: A cover letter is required to apply for this position

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 Features:
  • 3-month summer timeline
  • In-person experience at our offices in South San Francisco
  • Matching with at least one Calico mentor
  • Group supplemental activities weekly featuring guest speakers, Senior Leadership spotlights, and discussion groups on aging science, our drug development approach, and more
  • End-of-summer company-wide project showcase and poster session
  • Competitive compensation ($45 - $70/hour) and monthly living expenses stipend
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

Python
PyTorch
HQ

Calico Life Sciences South San Francisco, California, USA Office

1170 Veterans Blvd, South San Francisco, California, United States

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