Computational Biology Expert
$20 - $60/hourpay
Required Skills
python
r
bash
bwa
gatk
star
salmon
seurat
scanpy
ngs pipelines
alphafold
pymol
genomics
transcriptomics
systems biology
structural biology
ai/ml evaluation
bioinformatics analysis
scientific reasoning
analytical skills
problem-solving
written communication
verbal communication
interdisciplinary collaboration
remote work
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.
Job Description
Job Title: Computational Biology Expert
Job Type: Contractor
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
Key Responsibilities:
- Leverage your biology domain expertise to evaluate, annotate, and benchmark AI systems in real-world computational biology use cases.
- Assess the accuracy, relevance, and performance of AI-generated outputs in genomics, transcriptomics, and systems biology scenarios.
- Apply advanced analytical reasoning to critically review scientific workflows and pipelines, identifying strengths and areas for improvement.
- Collaborate with interdisciplinary teams, providing feedback on AI model performance based on biological context.
- Document observations and findings with clarity, highlighting scientific rationale and actionable insights.
- Communicate complex concepts effectively through both written and verbal channels to technical and non-technical stakeholders.
- Stay current on emerging trends in computational biology, bioinformatics, and machine learning in biology.
Required Skills and Qualifications:
- PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry/research experience.
- Proven experience in data-driven biological research and computational analysis workflows.
- Proficiency with scripting (Python, R, Bash) and scientific tools such as BWA, GATK, STAR, Salmon, Seurat, or Scanpy would be ideal.
- Deep understanding of genomics, transcriptomics, structural biology, or systems biology is desirable.
- Excellent scientific reasoning, analytical, and problem-solving abilities.
- Strong written and verbal communication skills, with the ability to articulate findings and collaborate effectively.
- Comfort working remotely and contributing to distributed teams.
Preferred Qualifications:
- Experience with AI/ML or LLM evaluation in a biology context.
- Hands-on experience with NGS pipelines, CRISPR workflows, AlphaFold, or PyMOL.
- Published research or contributions to open-source projects in computational biology or bioinformatics.