Job Summary
This position involves leading innovative research in computational biology to evaluate biological capabilities, potential misuse, and safety measures. The role includes synthesizing evidence from various sources such as models, published literature, experimental results, and expert opinions. A key component is converting scientific evaluations of risk into actionable policies, priorities for assessment, and requirements for mitigation, while engaging in collaboration with teams focused on safety, engineering, and experimentation.
Responsibilities
- Conduct original research in computational biology focusing on biological capabilities and misuse risks.
- Integrate findings from models, scientific literature, experiments, and expert insights to inform risk assessments.
- Translate scientific risk evaluations into policy frameworks and guidelines for safety and engineering practices.
- Work collaboratively with cross-functional teams to establish evaluation priorities and necessary mitigations.
Qualifications
- A PhD or equivalent experience in computational biology or a related quantitative biological field.
- A demonstrated track record of original research in the field.
- Proven experience in evaluating biological dual-use risks.
- Expertise in applying biological knowledge to artificial intelligence safety.
- Strong quantitative analysis capabilities and programming skills.
- Ability to exhibit sound judgment in interpreting biological evidence and handling uncertainty.
- Excellent communication skills for effectively sharing findings with diverse audiences.
Lila Sciences provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
