Arc AIxBio Fellows Program for Undergrads

Training Undergraduates to Become Future Leaders in Life Science AI

Arc Institute is an independent nonprofit research organization based in Palo Alto, California, founded in the pursuit of scientific curiosity. As a leader in AI and biotechnology, we’ve launched projects such as the virtual cell model STATE, the DNA biological foundation models Evo 1 and Evo 2, and the Virtual Cell Challenge.

At Arc, we believe transformative discoveries emerge from creative collaboration and technical ambition. Our mission is to accelerate discovery, uncover the root causes of complex diseases, and close the gap between scientific breakthroughs and real-world impacts.


About the Program

We are committed to nurturing the next generation of life scientists and are inviting undergraduate students interested in AIxBio to propose open, exploratory projects they can work on at their home institutions in partnership with Arc researchers for 6-12 months.

In 2026, the Arc Research Fellowship program will support 2-4 teams of 2-3 undergraduate students. Student teams can be pre-formed or we will assemble applicants together based on related proposals and complementary skillsets.

Over the course of their projects, Fellows will work with dedicated mentors from Arc's research teams with the goal of generating tangible outputs: code, models, analyses, and ideally publications or conference submissions. This is a part-time (~10 hours a week) and remote position intended to coincide with your coursework.


What You'll Receive

Mentorship Dedicated guidance from Arc investigators, postdocs, and staff scientists through weekly Zoom meetings and dedicated Slack channel support

Resources A stipend as well as access to Cloud and GPU compute to accelerate your research, plus onboarding support to get started quickly.

Recognition Co-authorship opportunities on publications, presentations at Arc or scientific conferences, and pathways to future internships or collaborations


Eligibility

  • Teams of 2-3 undergraduate students, formed independently within or across institutions
  • Strong technical skills and demonstrated curiosity about AI and life science
  • Commitment to open, reproducible research and collaborative science
  • Ability to dedicate 6-12 months to the project
  • Be based in North America (no citizenship restrictions)

Timeline

  • Proposal Deadline: Friday, February 27, 2026 at 5 pm PDT
  • Selection Process: Wednesday, April 15, 2026
  • Projects Begin: Monday, May 18, 2026
  • Duration: 6-12 months

How to Apply

To accommodate different stages of project development, we are accepting applications through two distinct tracks:

Track 1: Project Teams (Pre-formed teams)
For teams of 2-3 students who have a specific research idea. Please submit a brief, 1-page proposal outlining:

  • Your research idea and approach
  • The training goals you hope to achieve
  • Expected outputs (e.g., code, models, analyses)

Track 2: Teaming & Matching (Individuals)
For individual students with strong technical backgrounds (e.g., AI/ML, computational biology) who do not have a specific project in mind. Instead of a proposal, please submit a statement of expertise detailing your technical skills and interests. Selected applicants will be matched with other students to tackle projects proposed by Arc mentors.

Applications for the 2026 cohort have closed. We’ll post 2027 info next winter.

Additional questions you may have

Why undergraduates?
Would you consider recent graduates, graduate students, or postdocs?
Are graduating seniors eligible to apply?
If I don't have others to form a team with, can I still apply?
How many hours per week are expected?
Can I participate while doing a summer internship or job?
Are there any travel requirements to visit Arc Institute in person?
Can my home institution provide academic credit? Will Arc support credit arrangements?
Are there minimum GPA or academic standing requirements?
What happens if I can no longer continue with a project?
What happens if a team member drops out mid-project?
Who owns the IP/code produced during the fellowship?
What constitutes a successful project outcome?