Remote AI Training Scientist - Genomics & Bioinformatics

DataAnnotation

United States

Remote

USD 138,000 - 172,000

Full time

4 days ago
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Job summary

DataAnnotation is seeking experienced computational biologists and bioinformaticians to help train AI models. You’ll design realistic analysis tasks from your own practice, run them through frontier AI systems, and grade what comes back against a professional standard.

You’ll assess models that discuss biological data analysis, judge results for real work quality, and write clear grading rubrics. Candidates should have 3+ years hands-on data analysis, Python and/or R, and a track record of

Qualifications

  • 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute (counted after undergraduate study).
  • You write, debug, and can explain your own analysis code in Python and/or R (at least one required, both preferred).
  • Depth in at least one: genomics and variant interpretation; bulk or single-cell transcriptomics; proteomics / metabolomics / multiomics; population and statistical genetics; ML applied to biology; clinical genomics; metagenomics or phylogenetics.
  • You’ve owned a multistep analysis end to end, from raw or messy data to final interpretation, and can judge whether a result is real (normalization, batch effects, multiple-testing correction, biological interpretation).

Responsibilities

  • Design realistic analysis tasks from your own workflows: the scenario, the prompt, and the files an agent would need (count matrices, sample sheets and metadata, VCFs, pipeline logs and QC output, analysis notebooks).
  • Run tasks through frontier AI agents and grade the deliverable against the standard you’d hold a colleague to.
  • Write clear grading rubrics (the right normalization, the right multiple-testing correction, the right biological reading) and explain why a response passes or fails.
  • Flag concrete failures with evidence: batch effects and confounders ignored, wrong statistical test or uncorrected p-values, misused reference version, silently dropped samples, or code that doesn’t do what the narrative claims.

Skills

Python
R
Genomics data analysis
English writing

Education

Master’s or PhD in biology / bioinformatics / biostatistics / CS or related field
Current PhD candidate

Tools

Claude
ChatGPT

Job description

DataAnnotation is seeking experienced computational biologists and bioinformaticians to help train AI models. You’ll design realistic analysis tasks from your own practice, run them through frontier AI systems, and grade what comes back against a professional standard.

You’ll assess models that discuss biological data analysis, judge results for real work quality, and write clear grading rubrics. Candidates should have 3+ years hands-on data analysis, Python and/or R, and a track record of

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