Research Associate, AI Research Wet Lab

Biohub is the first large‑scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We’re building a general‑purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state‑of‑the‑art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose‑built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world‑class AI model development, exceptional engineering talent, high‑quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world‑class AI compute platform;

and creating impactful products that transform AI capabilities into accessible scientific tools.

This is an opportunity in the AI Research Wet Lab team 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—advancing frontier AI research, connecting rich biological data to AI systems, and translating models and data into usable, scalable applications that drive scientific impact for the public good.

• Perform biochemical and biophysical assays to characterize AI‑designed molecules in collaboration with AI researchers.
• Design and perform plasmid construction in‑house or with an external DNA provider.
• Contribute to assay development and execution for protein and cellular function.
• Document, analyze, interpret, and communicate experimental results to the research team.

Required qualifications

• Bachelor’s degree in molecular biology, biochemistry, chemistry, or similar.
• 2+ years of full‑time, post‑undergraduate research experience.
• Experience in culturing mammalian and/or bacterial cells.
• Command of molecular cloning, including multi‑fragment technologies such as Gibson and Golden Gate assemblies.
• Experience with biochemical and/or cell‑based assays.
• Enthusiasm for fast‑paced, interdisciplinary, and collaborative science; eagerness to learn new techniques and delve into new scientific areas.
• Excellent verbal and written communication skills.

Preferred qualifications

• Experience with affinity characterization by biolayer interferometry or surface plasmon resonance.
• Comfort using Python or a similar language to analyze experimental data and automate routine tasks.

The Redwood City, CA base pay range for a new hire in this role is $71,000.00 - $89,000.00. 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.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an…