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micro1 / Datos

Clinical, Microbiome & Translational Research Scientist (PhD)

nuevaDesde Argentina

  • Remoto desde Argentina
  • Contrato
  • Remoto
  • Semi senior

Requisitos

  • • inglés c1

Suma si tenés

  • python
  • machine learning
  • linux
  • estadística

La búsqueda

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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