Bioinformatics AI Research Expert

What You'll Do6

• Write original bioinformatics problems and scenarios that reflect real pipeline design, sequence analysis, and research workflows.
• Review AI-generated answers for technical accuracy, reproducibility, and alignment with accepted lab or computational practice.
• Produce structured written critiques that explain where a model response fails and how it should change.
• Evaluate model outputs against domain standards used in genomics, NGS, statistical genetics, or structural biology.
• Apply hands-on experience with tools such as BWA, GATK, samtools, BLAST, Biopython, PyMOL, or AlphaFold to judge submissions.
• Work at your own pace without a fixed schedule or minimum hour target.

Requirements9

• PhD in computational biology, bioinformatics, genomics, or a related quantitative or life sciences field. An MS with strong industry experience also qualifies.
• A publication record as first author plus hands-on ownership of complex bioinformatics pipelines that current AI models cannot match.
• Depth in at least one sub-domain: NGS or genomics pipelines (BWA, GATK, samtools) and sequence analysis (BLAST, Biopython); statistical genetics; or structural biology (PyMOL, AlphaFold).
• Candidates who meet two of the three qualifications above can also apply.
• R and Bioconductor proficiency, plus familiarity with standard computational biology software, helps your application.
• US work authorization.
• Strong written communication and close attention to detail.
• Ability to explain complex biology ideas in plain language.
• Ability to work on your own in a remote, asynchronous setting.

Who Should Apply

The strongest candidates hold a PhD in computational biology, bioinformatics, genomics, or a similar quantitative life sciences area, and they have owned non-trivial pipelines from start to finish. They can point to first-author publications and deep skill in one sub-domain, whether that is NGS analysis with BWA, GATK, and samtools, statistical genetics, or structural biology with PyMOL and AlphaFold. This work suits researchers who want flexible, remote project work next to a current role, not people who need a fixed schedule, close supervision, or a permanent position. Applications often score low when candidates list coursework but no pipeline ownership, or when they cannot show US work authorization. Another common miss is failing to name the exact tools and sub-domain depth the listing asks for.

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