Remote Biostatistician & AI Training Specialist

DataAnnotation; Indiana (PA); Remote; USD 55,000 - 172,000; Full time

Benefits offered by this job

Flexible, remote and project-based

Competitive compensation

Job summary

DataAnnotation is seeking experienced computational biologists and bioinformaticians to design realistic AI-driven analysis tasks, run them through frontier agents, and grade outputs against professional standards.

You'll write clear grading rubrics and explain why a result passes or fails, highlighting issues like batch effects, inappropriate tests, or misinterpreted data. Remote, project-based work with multinational collaboration.

Qualifications

• Must have 3+ years hands-on experience analyzing real biological data in industry, academia, or research lab.
• Proficient in writing, debugging, and explaining analysis code in Python and/or R (at least one; both preferred).
• Deep knowledge in at least one core area (genomics, transcriptomics, proteomics/metabolomics, genetics, ML in biology).
• Experience end-to-end with multistep analyses from raw data to interpretation.

Responsibilities

• Design realistic analysis tasks from your workflows, including prompts and necessary files.
• Run tasks through frontier AI agents and grade outputs against professional standards.
• Write clear grading rubrics and justify pass/fail decisions with evidence.
• Flag concrete failures with evidence, such as ignored batch effects or inappropriate statistical tests.

Skills

Genomics knowledge

Machine learning in biology

Data interpretation

Education

Master's or PhD in biology/biostatistics/computer science

Tools

Python

R

Job description

DataAnnotation is seeking experienced computational biologists and bioinformaticians to design realistic AI-driven analysis tasks, run them through frontier agents, and grade outputs against professional standards.

You'll write clear grading rubrics and explain why a result passes or fails, highlighting issues like batch effects, inappropriate tests, or misinterpreted data. Remote, project-based work with multinational collaboration.