Seeking accomplished biology and biophysics researchers to review scientific literature, create advanced research tasks, and evaluate frontier AI models across molecular biology, genomics, structural biology, neuroscience, immunology, and related life science disciplines.
Computational Biology Expert
Job description
As a Computational Biology Expert, you will apply your expertise in bioinformatics, genomics, and computational analysis to help train next-generation AI systems.
This role focuses on evaluating AI-generated outputs, benchmarking biological workflows, and contributing expert scientific reasoning across real-world computational biology scenarios.
Your work will directly support AI systems operating in:
- Genomics
- Transcriptomics
- Structural biology
- Systems biology
- Bioinformatics analysis
Key Responsibilities
Evaluate, annotate, and benchmark AI systems across computational biology workflows
Assess AI-generated outputs for:
- Scientific accuracy
- Relevance
- Biological validity
- Workflow quality
Review and analyze:
- Genomics pipelines
- Transcriptomics workflows
- Systems biology scenarios
- Bioinformatics analyses
Apply advanced scientific reasoning to identify:
- Workflow issues
- Pipeline weaknesses
- Opportunities for improvement
Collaborate with interdisciplinary teams to provide biological context and expert feedback
Document findings clearly with actionable scientific insights
Communicate technical concepts effectively to both technical and non-technical stakeholders
Stay current with developments in:
- Computational biology
- Bioinformatics
- AI/ML in biology
Required Qualifications
- PhD in:
- Biology
- Bioinformatics
- Related scientific disciplines
or equivalent research/industry experience.
Strong experience with:
- Computational biology workflows
- Bioinformatics analysis
- Data-driven biological research
Proficiency in:
- Python
- R
- Bash
Experience with tools such as:
- BWA
- GATK
- STAR
- Salmon
- Seurat
- Scanpy
Deep understanding of:
- Genomics
- Transcriptomics
- Structural biology
- Systems biology
Strong:
- Scientific reasoning
- Analytical thinking
- Problem-solving abilities
Excellent written and verbal communication skills
Comfortable working remotely within distributed technical teams
Preferred Qualifications
Experience involving:
- AI/ML evaluation
- LLM evaluation
- AI systems in biology
Hands-on experience with:
- NGS pipelines
- CRISPR workflows
- AlphaFold
- PyMOL
Published research or open-source contributions in:
- Computational biology
- Bioinformatics
Work Structure
- Fully remote contractor role
- Flexible remote collaboration
- AI training and evaluation focused work
About micro1
micro1 helps AI labs and enterprises build advanced AI systems through expert-driven training data, evaluations, and reinforcement learning environments.
Contributors help improve how AI systems reason about scientific research, biology, and computational analysis.
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