Clinical Microbiome And Translational Research Scientist

You will create and evaluate expert scientific content used to train AI systems. The work combines research judgment, scientific writing, and careful review of model-generated answers in microbiome and clinical bioinformatics.

You will design difficult scientific questions with clear answers, check AI outputs for accuracy and depth, and identify subtle errors. You will also create rubrics and reference answers based on primary literature and established methods, explain your decisions clearly, and take part in feedback and peer review.

• Review AI answers for scientific accuracy, rigor, and quality of reasoning.
• Create questions, rubrics, and reference answers for expert scientific topics.
• Work with topics such as 16S and shotgun metagenomics, virome analysis, host-microbiome research, biomarker discovery, clinical genomics, and precision medicine.
• Use evidence-based reasoning and clear explanations so other experts can validate your decisions.

This is a remote contractor role with flexible scheduling. The work requires advanced scientific training and hands-on research experience in an academic or industry laboratory.

• Pay: $45 to $90 per hour.
• Work arrangement:
  Remote contract work with flexible scheduling.
• Education:
  
  PhD in microbiology, bioinformatics, computational biology, biomedical sciences, immunology, epidemiology, or a closely related field.
• Research experience:
  Hands-on laboratory research experience in an academic or industry setting.
• Language:
  Professional written and spoken English at C1 level or higher.
• Core skills:
  Strong scientific writing, critical evaluation, evidence-based reasoning, and the ability to assess complex research claims.
• Useful tools and methods: QIIME2, Kraken2, Meta Phl An , HUMAnN, meta genome assembly or binning, and virome analysis.
• Helpful technical skills:
  Clinical or translational research, Python or R, Bash, and workflow tools.
• Helpful background:
  Postdoctoral or industry research, relevant publications, scientific content review or benchmarking, and work with TCGA, UK Biobank, statistics, or machine learning for high-dimensional biological data.
• Location:
  
  Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.

AI training is the human work behind systems that generate and evaluate text, code, images, and other content. People with deep subject knowledge help check whether AI outputs are accurate, well reasoned, and grounded in reliable evidence.