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    Internships/Arcadia Science

    Platform Fellow

    Arcadia Science · Emeryville, California, United States

    Summer 2026On-sitePaidPosted 2026-07-16
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    About the role#

    Arcadia Science is seeking a Platform Fellow for a 3-month fellowship during Summer 2026. This role is designed for scientists in the final stages of their PhD or postdoc training who want to apply quantitative skills to evolutionary biology within an open science environment. You will work with the Platform team to build evolution-aware statistical and machine learning methods that support research across the organization.

    What you'll do#

    • Collaborate with Platform team members on a defined computational project aligned with research goals.
    • Independently manage your fellowship work, including troubleshooting issues as they arise.
    • Maintain detailed documentation for all workflows, code, and analyses.
    • Publish results openly and share all data, code, and methods by the end of the fellowship.

    What you'll need#

    • PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a related quantitative field.
    • Strong programming skills in Python and/or R, with familiarity in bash and version control.
    • Experience with statistical modeling, machine learning, or phylogenetic methods.
    • Ability to work independently while collaborating with cross-functional teams.
    • Strong written and verbal communication skills.

    Location & details#

    • Location: Emeryville, California (On-site).
    • Commitment: Full-time, 3-month term.
    • Compensation: Paid internship.
    • Sponsorship: Not provided.
    Relevant fields:BiologyStatisticsComputer ScienceComputer EngineeringData Science

    About Arcadia Science

    Founded in 2021, Arcadia Science is a privately held biotechnology research firm based in Berkeley, California. The organization employs between 11 and 50 people. Its operations focus on developing new methods for scientific research, development, and commercialization through the practice of open science.

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