Computational Biology Expert - AI Evaluation (India)
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires computational biologists and bioinformatics scientists for flexible, part-time remote work. You use hands-on experience in genomics, NGS analysis, or computational biology to evaluate AI-generated content and help models reason like a practicing scientist. Tasks revolve around building expert-level problems from real pipeline design, sequence analysis, and research workflows. The project is ongoing and fits alongside a current role, with no fixed schedule or minimum hours.
What You'll Do5
- 1Design expert-level bioinformatics problems and scenarios that mirror real pipeline design, sequence analysis, and research workflows.
- 2Evaluate AI-generated answers for technical accuracy, reproducibility, and fit with actual lab or computational practice.
- 3Write structured feedback that pinpoints errors, gaps, and reasoning flaws to guide model improvement.
- 4Apply depth in NGS, statistical genetics, or structural biology to judge AI responses in your specialty.
- 5Work through tasks at your own pace without a set schedule or minimum hour requirement.
Requirements10
- 1First-author publications and a record of owning complex bioinformatics pipelines that frontier AI models cannot reproduce.
- 2PhD in computational biology, bioinformatics, genomics, or a related quantitative or life sciences field. An MS with substantial industry experience also qualifies.
- 3Deep expertise in at least one area: NGS and genomics pipelines with BWA, GATK, and samtools plus sequence analysis using BLAST and Biopython; statistical genetics; structural biology with PyMOL and AlphaFold.
- 4Handshake also considers applicants who meet two of these three core qualifications.
- 5Comfort with R, Bioconductor, and other standard bioinformatics or computational biology environments.
- 6Experience owning end-to-end genomics or NGS pipelines in academic or industry research.
- 7Indian work authorization.
- 8Strong written communication and close attention to detail.
- 9Ability to explain complex biological concepts in plain language.
- 10Ability to work on your own in a remote, asynchronous setting.
Who Should Apply
The ideal candidate holds a PhD in computational biology, bioinformatics, genomics, or a related field, or an MS backed by significant industry work, with first-author publications, ownership of non-trivial pipelines, and depth in one area such as NGS with BWA, GATK, and samtools, statistical genetics, or structural biology with PyMOL and AlphaFold. This role suits someone who already works in genomics or computational biology and wants flexible project work on the side. Candidates who only have coursework, classroom projects, or no pipeline ownership often score low on fit because the work demands evidence of independent research judgment. Applicants without Indian work authorization cannot move forward. Weak written feedback or trouble explaining biology to non-specialists also leads to rejection, since clear structured critique is the core deliverable.
Salary Insight
The listed rate is $47.00 per hour. For part-time AI training work in computational biology, that figure sits at the higher end for domain experts with PhD-level training or strong industry experience, and it reflects the specialized evaluation involved. No benefits or full-time perks appear in the posting because the engagement is project-based.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
$47/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits below that range.
Based on 571 similar roles that publish pay · 100 publish only a top rate; those count at the rate they gave
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- technical writing9%
- llm evaluation8%
- ai evaluation7%
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Compensation
$47/hr
Required Skills
Application Tip
Name the exact sub-domain and tools that match the listing, for example NGS pipelines with BWA, GATK, and samtools or structural biology with PyMOL and AlphaFold, then tie them to first-author publications and pipelines you owned end to end. Include a short writing sample or feedback example if you have one, because the role tests structured critique.
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