Biology Research Architect - Remote, Flexible Hours

Anyone AI Inc.

Greater London

Remote

GBP 31,000 - 82,000

Full time

3 hours ago
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Job summary

Anyone AI Inc. is seeking Biology Experts to craft challenging, realistic tasks that test AI agents’ ability to solve problems in biological research.

You will develop original tasks and reference solutions, then evaluate agents completing workflows using scientific tools and software. Responsibilities include designing tasks across molecular biology to bioinformatics, creating clear reference solutions, and evaluating the use of databases and literature with robust criteria for quality and

Qualifications

  • Advanced degree in biology or related discipline.
  • 3+ years of experience in biological research or applied work.
  • Experience interpreting experimental results and scientific literature.
  • Fluent English, with strong written communication skills.

Responsibilities

  • Design tasks involving molecular biology, genetics, cell biology, microbiology, or bioinformatics.
  • Develop reference solutions with clear reasoning, supporting evidence, and reproducible analysis.
  • Evaluate agents’ use of biological databases, literature, analytical tools, and datasets.
  • Define evaluation criteria and identify factual errors, unsupported conclusions, and methodological weaknesses.
  • Review and refine tasks to ensure they are clear, scientifically sound, and appropriately challenging.

Skills

Fluent English
Biology experience
Results interpretation

Education

Advanced degree in biology or related discipline

Tools

R
Python
Bioinformatics tools

Job description

Anyone AI Inc. is seeking Biology Experts to craft challenging, realistic tasks that test AI agents’ ability to solve problems in biological research.

You will develop original tasks and reference solutions, then evaluate agents completing workflows using scientific tools and software. Responsibilities include designing tasks across molecular biology to bioinformatics, creating clear reference solutions, and evaluating the use of databases and literature with robust criteria for quality and

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