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.
- 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.
- Engagement type: Contractor, independent contractor arrangement.
- Location: Remote work.
- Pay rate: $40 - $60 per hour.
- 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.