AI Research Intern (PhD), AI Research, Science

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.

The Team

Biohub is building the first large-scale initiative combining frontier artificial intelligence and frontier biology to cure or prevent all disease. In 2025, Biohub welcomed the EvolutionaryScale team - recognized for creating large-scale frontier AI systems for the life sciences - to accelerate the mission. Led by co-founder Alex Rives, who now serves as Head of Science at Biohub, the integrated organization is scaling up the compute and research infrastructure needed to build next-generation models of biology-powered by the largest cluster dedicated to open science. Backed by the Chan Zuckerberg Initiative (CZI), Biohub operates as a nonprofit organization uniting leading scientists, engineers, and technologists across hubs based in the San Francisco Bay Area, New York, and Chicago.

This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You'll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health.

You will be part of the AI Research team, which focuses on training biological world models and reasoning systems at the frontier of data, scale and compute. We are organized as a mostly flat organization of researchers to enable rapid and dynamic AI development.

The Opportunity

From day one, you'll be embedded in one of our flagship AI research efforts — working with experienced researchers and a strong engineering team on the next generation of biological foundation models, models with deep biological reasoning capabilities, and AI agents that can formulate hypotheses, design experiments, and learn from experimental biological outcomes. 

You will be paired with a dedicated mentor and given scientific ownership over your contributions, backed by world-class GPU infrastructure to test and scale your ideas. Your work will feed into our ambitious research projects that push the frontier of what is possible. We share our progress through leading journals, alongside open releases of data, models, and tools used by millions of researchers around the world.

Internships are structured for 12 weeks or longer, with a preference for extended commitments; however, we are flexible with arrangements for exceptional candidates.

What You'll Do

• Conduct research on training deep learning models in biology at the frontier of data, scale, and compute.
• Contribute to key aspects of our frontier AI systems for biology — including data pipelines, model training, evaluations, and applications to specific biological research directions.
• Implement and iterate on research ideas rapidly, writing clean, production-quality code alongside other researchers and engineers.
• Collaborate with cross-functional partners including wet-lab scientists, communicating research ideas, progress, and results across disciplines.
• Contribute to team publications and open-source releases that advance the field.

Depending on your project, you may focus on one or more of the following:

• Training biological world models across modalities and scales.
• Training and fine-tuning LLMs for biological reasoning and understanding.
• Designing and building agentic systems capable of conducting autonomous biological investigations.

What You'll Bring

• Active enrollment in a PhD program in Machine Learning/AI, computational biology, physics, applied math, or a related quantitative field.
• A track record of creative, high-quality research demonstrated through publications, fellowships, grants, patents, or equivalent achievements.
• Experience implementing deep learning models with PyTorch or equivalent frameworks.
• Ability to work independently and collaboratively on open-ended research problems.
• Strong communication skills across disciplines.
• Authorization to work in the US (Biohub is unable to sponsor current or future work authorization for this position)

Nice to have:

• Experience with large-scale model training
• Familiarity with biological data modalities (sequences, structures, imaging, omics)
• Experience with dataset curation, evaluation design, or ML infrastructure at scale

You do not need a biology background — many on our AI team don't. We encourage generalist AI researchers eager to dive into biology to apply!

Compensation

The Redwood City, CA and New York City, NY base pay range for a new hire in this role is $64.42-$88.32/hour. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

AI Research Internship Benefits

• Competitive hourly compensation
• Hands-on, real-world frontier AI research lab experience
• Mentorship and career guidance
• Access to an exceptional scientific and research network

Housing and Work Location

Interns are responsible for securing and covering the cost of their housing for the duration of the internship. Biohub does not provide housing or housing stipends.

The internship follows a hybrid model and requires working onsite at least 60% of each month (approximately three days per week). Specific in-office days will be determined by the hiring manager and will be discussed during the interview process.

What to Expect: Application Process and Timeline 

We are committed to a transparent and thoughtful hiring process. Our anticipated timeline for this cycle is outlined below:

March 15, 2026 at 11:59 PM PST — Application Deadline
All required materials must be submitted by this time to receive full consideration.

March–April 2026 — Application Review and Interviews
Applications will be reviewed by our Recruiting and Research teams. Selected candidates will be invited to interview during this period.

April 2026 — Offers Extended
Offers will be extended on a rolling basis, with acceptances expected to be finalized by early April.

Please note that dates are subject to change. Candidates will be kept informed throughout the process.

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