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Clinical, Microbiome & Translational Research Scientist (PhD)

micro1 · Work from home
Work from home
PayPay not listed
WhereWork from home
TypeContractMid-level, Senior
Posted16 Oct6 days ago, via Himalayas
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Day work
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Clinical Research ScientistSenior Clinical ScientistClinical ScientistClinical ResearcherResearch Scientist
About this job
Job Title
Clinical, Microbiome & Translational Research Scientist (PhD)
Job Type
Contractor
Location
Remote(Worldwide)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

Design and write challenging, expert-level scientific problems in microbiome/metagenomics, clinical and translational bioinformatics, and related life sciences, with clear, verifiable solutions.

Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors non-specialists would miss.

Develop detailed rubrics and reference answers grounded in primary literature and established methodology.

Apply domain expertise across areas such as 16S and shotgun metagenomics, virome/host-microbiome analysis, biomarker discovery, clinical genomics, and omics-driven precision medicine.

Provide clear written explanations of your reasoning so other experts can follow and validate it.

Meet quality standards through iterative feedback and peer review.

Required Qualifications (MUST)

PhD in Microbiology, Bioinformatics, Computational Biology, Biomedical Sciences, Immunology, Epidemiology, or a closely related field.

Hands-on research experience in an academic or industry lab (wetlab experience is a plus).

Professional written and spoken English (C1 or higher).

Preferred Skills

Postdoctoral or industry research experience in microbiome, clinical, or translational research.

Publication record, ideally first-author papers in relevant journals.

Microbiome tools
QIIME2, Kraken2, MetaPhlAn, HUMAnN, MAG assembly/binning, virome analysis.
Clinical/translational
TCGA, UK Biobank, biomarker discovery, survival analysis, EHR + omics integration, oncology/immunology genomics.

Statistics and ML for high-dimensional biological data.

Programming
Python and/or R (required in practice), Bash, workflow tools.

Experience reviewing, benchmarking, or writing scientific content.

Originally posted on Himalayas

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