This is not a traditional job — you'll draw on your hands-on experience in genomics, NGS analysis, or computational biology to evaluate AI-generated content and provide feedback that helps AI reason like a practicing computational biologist or bioinformatics scientist.

This is an ongoing, project-based opportunity you can take on alongside your current role.

• Use your domain expertise to create expert-level bioinformatics problems and scenarios grounded in real pipeline design, sequence analysis, and research workflows.
• Review and evaluate AI-generated responses for technical accuracy, reproducibility, and alignment with how the work is actually done.
• Provide structured written feedback to help improve AI model performance.

Ideal candidates meet all three of the following:

• Industry/research experience — a track record of first-author publications and ownership of non-trivial bioinformatics pipelines that frontier AI models cannot reproduce.

• Degree — PhD in Computational Biology, Bioinformatics, Genomics, or a comparable quantitative/life sciences discipline. An MS paired with strong industry experience also qualifies.

• Sub-domain depth — demonstrated expertise in one of the following areas:

  • NGS/genomics pipelines (BWA, GATK, samtools) and sequence analysis (BLAST, Biopython).

  • Statistical genetics.

  • Structural biology (PyMOL, AlphaFold).

Candidates who meet at least 2 of the 3 qualifications above are also encouraged to apply.

Additional qualifications (not required, but strengthen your application)

• Proficiency with R/Bioconductor and other standard bioinformatics or computational biology software environments.

• Experience owning end-to-end genomics or NGS/sequencing pipelines in an academic or industry research setting.

Required for all applicants

• Must have Indian work authorization.

• Strong written communication and attention to detail.

• Ability to explain complex biological concepts clearly.

• Ability to work independently in a remote, asynchronous environment.

Work arrangement: Fully remote

Eligible countries: India

• Depending on the project.