Computational Biology Expert Focused on AI Training and Biomed Data
Overview
The role focuses on guiding AI training with real-world computational biology input. You’ll evaluate and annotate AI system outputs in genomics, transcriptomics, and systems biology contexts, then benchmark performance against concrete biological benchmarks. You’ll document findings clearly and share actionable feedback with cross-functional teams. This is a remote contractor position that leverages deep domain knowledge to influence how models reason about biological data. Python and Bash scripting underpin your day-to-day work.
What You'll Do7
- 1Evaluate AI outputs on genomics, transcriptomics, and systems biology tasks against real-world benchmarks.
- 2Annotate data, benchmark model performance, and identify concrete improvement areas for AI systems.
- 3Critically review scientific workflows and pipelines to highlight strengths and gaps in analysis.
- 4Collaborate with interdisciplinary teams, delivering biology-informed feedback on model behavior.
- 5Document observations with clear scientific rationale and actionable insights for stakeholders.
- 6Explain complex concepts in written and spoken form to technical and non-technical audiences.
- 7Stay updated on trends in computational biology, bioinformatics, and biology-focused ML.
Requirements5
- 1PhD in Biology, Bioinformatics, or a closely related field or equivalent research/industry experience.
- 2Proven background in data-driven biological research and computational analysis workflows.
- 3Proficiency with scripting (Python, Bash) and familiarity with tools like BWA, GATK, STAR, Salmon, Seurat, or Scanpy.
- 4Strong understanding of genomics, transcriptomics, or systems biology; excellent scientific reasoning and problem-solving.
- 5Clear written and verbal communication skills and experience working with remote, distributed teams.
Who Should Apply
The ideal candidate has a PhD or equivalent in biology or bioinformatics and hands-on experience with computational workflows. The role may be less suitable for someone without a strong data-driven biology background or without remote collaboration experience. Common fit gaps include limited experience evaluating AI outputs in biological contexts or lacking familiarity with key bioinformatics tools. Candidates who struggle to clearly document methods or communicate complex ideas to diverse stakeholders may score lower on this role.
Salary Insight
40 - 60 per hour. Pay is discussed after initial screening.
Location
Required Skills
Application Tip
Highlight concrete BI tools you’ve used (e.g., GATK, STAR) and cite any AI evaluation work or open datasets you’ve contributed to, including quantified outcomes.
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How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
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