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Biology Expert (Masters/PhDs)

  • Vancouver, British Columbia, Canada
  • Remote
  • Posted Oct 9, 2026
  • 1 position

US$75–US$90 / hour

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Employment type
Contract
Experience level
Senior · 5+ years
Minimum education
Master’s degree
Posting language
English
Working hours
40 hours per week
Location requirements
Country, Vancouver, British Columbia, Canada
Seniority
Mid-Senior level

Job summary

Develop, solve, and critically review advanced biology problems to improve AI models’ scientific reasoning and accuracy. Apply expertise in genetics, biotechnology, bioinformatics, or related fields, using Python or R for quantitative or bioinformatic tasks where relevant.

Job details

Biology Expert (AI Training) About The Role What if your years of graduate-level biology training could directly shape how AI understands genetics, biotechnology, and the life sciences? We're looking for Biology Experts — Masters and PhD holders — to solve advanced scientific problems that teach cutting-edge AI models how to reason like a domain expert. This is a fully remote, flexible contract role built for researchers and scientists who want to apply their expertise in a new and impactful way. No AI background needed — just deep biological knowledge and the ability to communicate complex ideas with precision. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Develop, solve, and critically review advanced biology problems with real-world scientific relevance Apply your expertise in genetics, biotechnology, bioinformatics, or related fields to design challenging, nuanced problem statements Collaborate asynchronously with AI researchers and fellow domain experts to enhance AI model reasoning and scientific accuracy Ensure scientific rigor, clarity, and depth across all deliverables Use Python or R where relevant to support quantitative or bioinformatic tasks Who You Are Master's or PhD in Biology or a closely related field — Genetics, Molecular Biology, Bioinformatics, Biotechnology, or equivalent Strong working knowledge of at least one core area: genetics, biotechnology, or bioinformatics Comfortable coding in Python or R for research or analytical tasks Exceptional written communicator — you can explain complex science clearly and precisely Detail-oriented and methodical, with a commitment to scientific accuracy Fluent in English Nice to Have Prior experience with data annotation, data quality review, or AI evaluation workflows Background in computational biology or experience working with large biological datasets Familiarity with scientific writing, peer review, or research publication Experience bridging experimental and computational biology Why Join Us Work on cutting-edge AI projects alongside leading AI research labs Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, task-based scientific work Make a direct, tangible impact on how AI understands and reasons about the life sciences Potential for ongoing work and contract extension as new projects launch

What you’ll do

Develop, solve, and critically review advanced biology problems to improve AI models’ scientific reasoning and accuracy. Apply expertise in genetics, biotechnology, bioinformatics, or related fields, using Python or R for quantitative or bioinformatic tasks where relevant.

Requirements

A master’s or PhD in biology or a closely related field is required, along with strong knowledge of at least one core area such as genetics, biotechnology, or bioinformatics. Candidates should be comfortable using Python or R, communicate complex science clearly in English, and demonstrate attention to detail and scientific rigor.

Benefits

  • Flexible Work Schedule
  • Remote Work
  • Freelance Autonomy
  • Potential for Ongoing Work and Contract Extension

Listed skills

  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Biology
  • Genetics
  • Biotechnology
  • Bioinformatics
  • Molecular Biology
  • Python
  • R
  • Scientific Problem Solving
  • Scientific Writing
  • Data Annotation
  • Data Quality Review
  • AI Evaluation
  • Computational Biology
  • Scientific Communication
  • Critical Review
  • Research

Job areas

  • Science & Research
  • Technology
  • Data & Analytics

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