Biology Expert – AI Safety

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Logo of Weekday (YC W21)

Weekday (YC W21)

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Develop expert-level prompts covering specialized topics within the biological and life sciences. • Review, evaluate, and annotate AI-generated responses for scientific accuracy, completeness, clarity, and practical usefulness. • Assess model outputs for the appropriate handling of sensitive biological and biosecurity-related topics. • Apply structured evaluation guidelines to classify prompts, conversations, and model responses consistently. • Contribute scientific expertise to improve the safety, reliability, and quality of advanced AI systems.

🎯 Requirements

• PhD (completed or currently pursuing) in Biology or a closely related life science discipline, including: • - Molecular Biology • - Microbiology • - Virology • - Genetics • - Biochemistry • - Bioinformatics • - Synthetic Biology • - Immunology • - Other relevant biological sciences • Strong understanding of modern laboratory methodologies and computational techniques relevant to your area of specialization. • Excellent scientific reasoning, analytical thinking, and written communication skills in English. • Sound professional judgment regarding biosecurity, biosafety, and the responsible handling of dual-use biological information. • Research or academic experience involving biosafety, biosecurity, pathogen biology, or gain-of-function considerations. • Experience reviewing, evaluating, grading, or red-teaming scientific or technical content. • Strong attention to detail and the ability to apply structured evaluation guidelines consistently.

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