Research Engineer, Biosecurity

Highlights

• Leverage AI to proactively mitigate risks from biological threats.
• Design novel ML methods to address core biosecurity questions.
• Build tools, models and evaluations to mitigate biological risks.

Ideal candidate

A mission-driven ML researcher fascinated by biology and AI safety who thrives on ambiguous, cross-disciplinary problems and translating complex findings into real-world safeguards.

Requirements

• Bachelor's degree in Computer Science, Machine Learning, Computational Biology or related field or equivalent experience
• 2 years of experience with machine learning algorithms and tools
• Experience applying deep learning models to biological data such as functional genomics or protein sequence data
• Experience working with life science data such as bioinformatics or health informatics
• Familiarity with biosecurity topics like metagenomic surveillance and de novo pathogen design
• Ability to solve ambiguous and complex problems spanning many teams and organizations