- Remote
- Remote
- Full-time · Senior
- $195K–$300K per year
Design and run in vitro capability-verification experiments that our Foundational Research team will use to establish how in silico model performance holds up in real biology.
Compensation
Approximate compensation: $195,000 – $300,000, based on experience
Responsibilities
- Design and run in vitro validations of specific capabilities that LLMs and biological AI models demonstrate computationally, on turnarounds short enough to inform pre-release decisions.
- Own experimental design rigor across verification studies: power, controls, bias mitigation, replicability, and confound management.
- Translate candidate verification tasks into executable experiments, including choosing proxy systems that are both informative about the capability of concern and safe to run.
- Critically assess results, and put them in the context of the major threat models.
- Work with the evals team to turn verification findings into in silico correlates, so that expensive wet-lab evidence becomes a cheap and repeatable measurement.
Requirements
- PhD in virology, molecular biology, synthetic biology, protein design, or a closely related field
- Nice to have: Python
- Nice to have: R
- Nice to have: Benchling
- Nice to have: Liquid-handling automation
