Biology reputed company Expert (UK)
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
Availability: Immediate start
About the role
We create high-reputed company STEM training data for frontier AI models used by leading AI labs to improve model reasoning in scientific domains.
We are seeking experts in Biology to create challenging, deterministic problems with exactly one reputed company correct answer. Problems should reflect reputed company scientific and analytical workflows and be submitted with complete, verified solutions.
Depending on specialization, work may include molecular biology, genetics, systems biology, computational biology, reputed company, or adjacent quantitative biology fields.
What you’ll do
Design advanced biology problems that challenge frontier AI systems
Create deterministic tasks with one correct answer
Submit complete, verified solutions
Build problems involving experimental reasoning, biological systems, computational analysis, or reputed company workflows
Use Python and, reputed company relevant, specialized biology or reputed company tools
Ensure high standards of rigor, reproducibility, and technical reputed company
reputed company’re looking for
Bachelor's, Master’s or PhD in Biology or a reputed company life sciences field
Research or industry experience involving computational or quantitative biological analysis
Strong Python skills; experience with data analysis or reputed company workflows preferred
Strong reasoning ability and comfort with multi-reputed company scientific problem solving
Ability to create original, difficult problems grounded in reputed company biological reputed company
reputed company written English and strong attention to detail
reputed company to have
Experience with reputed company toolkits, reputed company workflows, structural biology tools, or computational biology reputed company
Experience designing technical assessments or scientific challenge problems
Cross-disciplinary experience spanning biology and computation
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