Clinical Microbiome Translational Research Scientist (PhD)

OpenTrain AI, Inc.

United States

Remote

USD 62,000 - 124,000

Part time

43 hours ago

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Job summary

OpenTrain AI, Inc. is seeking a Clinical Microbiome Translational Research Scientist (PhD) for a remote, part-time contractor role. You will create expert scientific content, review AI-generated reasoning, and develop rubrics across microbiome and translational research.

Candidates with a PhD and strong publication record are encouraged to apply. The work involves applying 16S and shotgun metagenomics, biomarker discovery, clinical genomics, and omics-driven precision medicine to evaluate AI

Qualifications

PhD in a relevant life science field with strong research experience.
Hands-on experience in microbiome, clinical or translational research.
Proficiency in multiple omics and bioinformatics tools.

Responsibilities

Create expert scientific content and evaluation rubrics for microbiome topics.
Review AI-generated reasoning for scientific rigor and accuracy.
Design hard scientific problems with clear solutions and references.
Explain reasoning and maintain quality via peer review and feedback.

Skills

16S analysis

Shotgun metagenomics

Virome analysis

Biomarker discovery

Clinical genomics

Omics medicine

Python

Education

PhD in microbiology, bioinformatics, computational biology, biomedical sciences, immunology, epidemiology, or related field

Tools

QIIME2

Kraken2

MetaPhlAn

HUMAnN

MAG assembly

EHR integration

Job description

Clinical Microbiome Translational Research Scientist (PhD)

Create rigorous scientific questions, review AI-generated answers, and write evidence-based rubrics across microbiome and translational research. This remote contractor role pays $45 to $90 per hour and requires a relevant PhD.

Compensation

Remote Hourly · $45–$90/hr

Contract, part-time

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

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.

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.

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