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Clinical, Microbiome & Translational Research Scientist (PhD)

Micro1 ✓
Specialist Contractor Remote
LocationRemote
PayUSD45–USD90 / hour
PostedOct 29, 2026

Role details

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.

Requirements

  • computational chemistry
  • molecular simulations
  • python
  • gaussian
  • gromacs
  • lammps
  • amber
  • orca
  • psi4
  • cheminformatics
  • electronic structure methods
  • scientific software configuration
  • molecular dynamics
  • drug discovery
  • ai/ml-assisted chemistry workflows
  • quantitative analysis
  • analytical reasoning
  • scientific programming
  • written communication
  • verbal communication
  • documentation
  • problem-solving

Skills

computational chemistry molecular simulations python gaussian gromacs lammps amber orca psi4 cheminformatics electronic structure methods scientific software configuration molecular dynamics drug discovery ai/ml-assisted chemistry workflows
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