出海雷达

临床、微生物组及转化研究科学家(PhD)

Clinical, Microbiome & Translational Research Scientist (PhD)

其他全球可投(据职位描述推断)
公司Micro1
薪资$45 - $90
工作地点Worldwide
地域资格全球可投(据职位描述推断)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Contractor
发布时间今天
数据来源Himalayas
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

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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Micro1WorldwideContractor17 天前
其他全球可投(据职位描述推断)

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