Scientist

Research Scientist (Fixed term)

Location: On-site in Cambridge, MA (Central/Kendall)

Dates: 3-6 weeks in November - December. Dates may be flexible.

Schedule: 8 hours/day, Monday–Friday.

Compensation: $65/hour

Overview

Work at the frontier of AI & biology

How are today's AI models actually changing biological capabilities in the lab? Active Site is hiring wet-lab scientists for a short-term project over November and December 2026. You will work in our laboratory executing a range of molecular and cell biology tasks in partnership with cutting edge AI tools. Your work will directly shape the protocols, materials, and design of subsequent programs that follow. You should be comfortable working independently at the bench, learning new workflows from protocols, and troubleshooting as you go. This is a fixed-term position with a defined end date.

In this project, you'll work hands-on with a frontier AI-for-science model to independently design and execute experiments in our BSL-2 lab. You’ll generate real-world evidence about what AI-assisted biology looks like today to inform both industry practice and emerging governance.

About Active Site

Active Site is a research nonprofit studying how frontier AI changes what people can accomplish in the physical biology lab by running real-world experiments to measure AI's impact on biological research.

Our recent work includes the largest and longest in-person randomized controlled trial to date examining AI assistance in cell and molecular biology. Active Site's research on AI and biological capabilities has been featured in the Economist, and Nature.

If you want to work on questions at the intersection of AI and biology, this is an opportunity to contribute directly to that research.

What you'll do

You'll independently work on a series of laboratory tasks, including:

• Designing, assembling, and modifying recombinant DNA

• Rescuing and characterizing benign viruses (titration, growth curves, and neutralization)

• Working with frontier AI to design and troubleshoot experiments

You'll have access to our state-of-the-art laboratory and the resources needed to execute your project, but you'll be expected to make your own day-to-day experimental decisions with or without AI rather than rely on in-person technical guidance. You'll work alongside other scientists, but each scientist will independently own their experimental strategy and work.