Clinical Microbiome Translational Research Scientist (PhD)

The work

You will create expert scientific content and evaluate AI-generated reasoning across microbiome and metagenomics, clinical bioinformatics, translational research, and related life sciences. Your assessments will help distinguish scientifically rigorous answers from subtle errors.

You will design difficult scientific problems with clear, verifiable solutions, review model outputs for accuracy and depth, and create detailed rubrics and reference answers based on primary literature and established methods. You will also explain your reasoning for expert review and maintain quality through feedback and peer review.

• Apply research judgment to 16S and shotgun metagenomics, virome and host-microbiome analysis, biomarker discovery, clinical genomics, and omics-driven precision medicine.
• Review AI-generated answers for scientific accuracy, rigor, and reasoning quality.
• Write scientific questions, reference answers, and evaluation rubrics with clear supporting evidence.
• Use relevant knowledge of areas such as MAG assembly and binning, EHR and omics integration, survival analysis, oncology genomics, and immunology genomics.

What it pays and takes

This is a remote contractor opportunity available in the countries listed for the role. The work is part time, and the schedule details are not specified.

• Pay: $45 to $90 per hour.
• Work setup: Remote contractor role.
• Location: Open to candidates in the countries listed for this role.
• Education: PhD in microbiology, bioinformatics, computational biology, biomedical sciences, immunology, epidemiology, or a closely related field.
• Research background: Hands-on experience in an academic or industry laboratory, with practical experience in microbiome, clinical, or translational research.
• Language: Professional written and spoken English at C1 level or higher.
• Useful technical experience: QIIME2, Kraken2, MetaPhlAn, HUMAnN, MAG assembly and binning, virome analysis, clinical genomics, biomarker discovery, survival analysis, EHR and omics integration, or oncology and immunology genomics.
• Additional useful skills: Python or R, statistics, machine learning for high-dimensional biological data, Bash, and workflow tools.
• Helpful experience: Postdoctoral or industry research, relevant publications, and reviewing, benchmarking, or writing scientific content.

How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.

About AI training work

AI training is the human work behind systems that generate and evaluate scientific answers. Contributors create examples, review model outputs, and explain what makes an answer accurate, so people with deep research expertise are needed for specialized projects.