Biologist
Weekday AI
Biologist
Weekday AI
Proactive software engineer recruitment via referrals
Weekday AI · United States (Remote) · Contract · Posted 2026-11-12
Workplace: remote
Department: AI Training
This role is for one of our clients
Compensation: $90-$140 per hour
Employment Type: Contract (Independent Contractor)
Location: Remote (United States)
Work Arrangement: Fully Remote, Flexible Schedule
We are seeking highly experienced PhD Biologists and Life Sciences Researchers to contribute their scientific expertise to the development, evaluation, and advancement of next-generation Artificial Intelligence (AI) models.
In this role, you will collaborate with leading AI research teams to improve how advanced AI models understand, analyze, and reason about complex biological concepts and real-world life sciences research. You will leverage your specialized domain knowledge and research experience to evaluate scientific reasoning tasks, assess AI-generated outputs, develop rigorous problem specifications, create reference solutions, and design advanced benchmarks to measure model performance.
The ideal candidate will be an established academic or research professional with deep specialization in at least one life sciences discipline, a strong peer-reviewed publication record, and practical experience using Large Language Models (LLMs) in scientific or research workflows.
Senior-level academic or research experience, such as:
Faculty appointment at a recognized university.
Equivalent senior research position at a university, academic medical center, national laboratory, or established research organization.
Deep specialization in at least one of the following domains:
Molecular and Cell Biology.
Biomedical and Translational Research.
Strong peer-reviewed research publication record.
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Proactive software engineer recruitment via referrals
Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.
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