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Computational Biologist for AI Model Training

$40–$60/hr

RemoteContractscience
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About this role

Role Overview

Apply advanced computational biology expertise to evaluate, annotate, and benchmark AI-generated outputs used in genomics, transcriptomics, structural biology, and systems biology. Your assessments will shape how next-generation AI models learn, reason, and perform in real-world biological contexts.

Key Responsibilities
  • Evaluate AI outputs for accuracy, relevance, and scientific rigor across genomics, transcriptomics, and systems biology use cases.
  • Annotate and benchmark model responses against real-world computational biology scenarios and accepted best practices.
  • Review scientific workflows and pipelines, applying analytical reasoning to identify strengths, weaknesses, and opportunities for improvement.
  • Provide clear, actionable feedback to interdisciplinary teams on model performance with biological context.
  • Document observations and findings with scientific rationale and recommended next steps.
  • Communicate complex biological concepts effectively in both written and verbal formats to technical and non-technical stakeholders.
  • Stay current on developments in computational biology, bioinformatics, and machine learning applied to biology.
Qualifications
  • PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry or research experience.
  • Proven experience in data-driven biological research and computational analysis workflows.
  • Required scripting skills: Python and Bash. Familiarity with R is a plus.
  • Familiarity with scientific tools and pipelines such as BWA, GATK, STAR, Salmon, Seurat, or Scanpy is desirable.
  • Deep understanding of one or more areas such as genomics, transcriptomics, structural biology, or systems biology.
  • Excellent scientific reasoning, analytical problem-solving, and strong written and verbal communication skills.
  • Comfort working remotely and contributing to distributed teams.
  • Preferred: experience evaluating AI or large language models in biology contexts, hands-on experience with NGS pipelines, CRISPR workflows, AlphaFold, or PyMOL, and published research or open-source contributions in computational biology or bioinformatics.
Work Terms
  • Engagement type: Contractor, independent contractor arrangement.
  • Location: Remote work.
Compensation
  • Pay rate: $40 - $60 per hour.
Eligibility
  • This role is offered as a contract position for independent contractors. Candidates must be able to work remotely and participate as part of a distributed team. Specific work authorization or visa requirements are not specified in this posting; candidates should ensure they can legally contract for remote work from their location.

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