Remote AI-Driven Computational Biologist (Public Health)

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

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.

The models can discuss biology data, but require your QC for tasks like RNA-seq, variant prioritization, batch-effect diagnosis, and pipeline auditing. Roles suit Bioinformatics Scientist, Genomics Data Scientist, Computational Biologist.

Qualifications

• 3+ years hands-on analyzing real biological data in industry, an academic lab, or a research institute.
• 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 area: genomics, transcriptomics, proteomics/metabolomics, population genetics, ML in biology, clinical genomics, metagenomics or phylogenetics.
• You’ve owned a multistep analysis end to end, from raw data to final interpretation, and can judge whether a result is real.
• Master’s or PhD completed in the U.S., Canada, Europe, or the UK.
• Clear written English and 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, including prompts, files, and metadata.
• Run tasks through frontier AI agents and grade the deliverable against professional standards.
• 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 references).

Skills

Python

R

Data analysis

Machine learning

Education

Master’s degree

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 practice, run them through frontier AI systems, and grade outputs against a professional standard.

The models can discuss biology data, but require your QC for tasks like RNA-seq, variant prioritization, batch-effect diagnosis, and pipeline auditing. Roles suit Bioinformatics Scientist, Genomics Data Scientist, Computational Biologist.