Genomics AI Trainer & Evaluation Scientist

DataAnnotation; Idaho; Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Flexible schedule

Remote work

Project-based assignments

Job summary

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

You’ll write grading rubrics, explain why a result passes or fails, and flag concrete failures with evidence such as batch effects, wrong statistical tests, or misused reference versions.

Qualifications

• 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute.
• Write, debug, and explain analysis code in Python and/or R (at least one required, both preferred).
• Depth in genomics/variant interpretation; transcriptomics; proteomics/metabolomics/multiomics; population genetics; ML in biology; clinical genomics; metagenomics/phylogenetics.
• Owned a multistep analysis end to end from raw data to final interpretation, able to judge if result is real.
• Clear written English, comfort with ambiguity, familiarity with AI/LLM tools like Claude or ChatGPT.
• Based in the United States, Canada, or the UK (Ireland and Australia may also be accepted).

Responsibilities

• Design realistic analysis tasks from your workflows: the scenario, the prompt, and the files needed (count matrices, sample sheets/metadata, VCFs, logs, QC output, notebooks).
• Run tasks through frontier AI agents and grade the deliverable against your professional standard.
• Write clear grading rubrics and explain why a response passes or fails.
• Flag concrete failures with evidence (batch effects, wrong tests, uncorrected p-values, misused reference versions, dropped samples, or code not matching the narrative).

Skills

Python

R

Education

Master's or PhD

Job description

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

You’ll write grading rubrics, explain why a result passes or fails, and flag concrete failures with evidence such as batch effects, wrong statistical tests, or misused reference versions.