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Open nowFirst seen 3 days ago

Remote | Clinical, Microbiome & Translational Research Scientist (PhD) — $45–$90/hour

24-MAG343 open roles

Where
New York, United States, Remote
Work mode
Remote
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Your applicationOpen nowRemote | Clinical, Microbiome & Translational Research Scientist (PhD) — $45–$90/hour24-MAG · New York, United States, Remote

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. 24-MAG postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 3 days ago

24-MAG median: 1 days open

The posting

We are sharing a specialised remote consulting opportunity for experienced Clinical, Microbiome, and Translational Research Scientists with doctoral-level qualifications and advanced expertise in microbiome research, metagenomics, clinical bioinformatics, biomedical data analysis, and precision medicine to contribute their scientific knowledge to advanced AI training and evaluation initiatives.

Selected professionals will develop expert-level scientific problems, evaluate complex biological analyses, and assess AI-generated research outputs across microbiome science, clinical genomics, and translational medicine. The work combines advanced biomedical research expertise with computational biology, statistical analysis, scientific literature evaluation, and structured benchmarking to improve the accuracy, reasoning, and reliability of advanced AI systems.

Key Responsibilities

Microbiome Research & Scientific Problem Development

  • Design challenging, expert-level scientific problems involving microbiome research, metagenomics, and related biomedical disciplines
  • Apply specialised knowledge of microbial communities, host–microbiome interactions, and microbial ecology to complex research scenarios
  • Develop scientifically rigorous questions involving 16S rRNA sequencing, shotgun metagenomics, and virome analysis
  • Evaluate research assumptions, experimental methodologies, and biological interpretations for scientific consistency
  • Create clearly defined scientific challenges with verifiable solutions suitable for advanced AI evaluation

Metagenomics & Computational Bioinformatics

  • Analyse microbiome and metagenomic datasets using established computational and statistical methodologies
  • Evaluate bioinformatics workflows involving microbial taxonomic profiling, functional analysis, and community characterisation
  • Assess computational approaches using tools such as QIIME2, Kraken2, MetaPhlAn, HUMAnN, and related applications
  • Review metagenome-assembled genome (MAG) assembly, binning, and relevant microbial sequence analysis methodologies
  • Identify computational inaccuracies, methodological weaknesses, and opportunities to improve the reliability of biological data interpretation

Clinical Genomics & Translational Research

  • Evaluate scientific problems involving clinical genomics, biomarker discovery, and translational biomedical research
  • Analyse research approaches integrating genomic, transcriptomic, microbiome, and clinical datasets
  • Apply expertise in oncology, immunology, precision medicine, and relevant disease-related biological mechanisms
  • Assess statistical and computational methodologies involving survival analysis, biomarker validation, and patient-level research data
  • Evaluate the scientific validity of clinical interpretations and translational research conclusions

AI Training & Scientific Benchmark Evaluation

  • Design and critique expert-level scientific questions, biomedical reasoning tasks, and computational research problems for AI benchmarking
  • Review AI-generated outputs for scientific accuracy, methodological rigour, and depth of biological reasoning
  • Identify subtle errors involving research assumptions, statistical interpretation, experimental design, and biological conclusions
  • Develop detailed evaluation rubrics and reference answers grounded in primary scientific literature and established methodologies
  • Provide structured expert feedback to improve AI performance across microbiome research, clinical bioinformatics, and translational science

Scientific Validation & Research Documentation

  • Validate scientific analyses, computational workflows, and research conclusions against established biomedical methodologies
  • Evaluate the reproducibility, statistical reliability, and scientific consistency of research approaches
  • Produce clear written explanations documenting analytical reasoning, methodological choices, and evaluation findings
  • Incorporate iterative feedback and peer review to refine scientific problems, reference solutions, and assessment criteria
  • Maintain rigorous standards for scientific documentation, technical accuracy, and reproducible research deliverables

Ideal Profile

  • PhD in Microbiology, Bioinformatics, Computational Biology, Biomedical Sciences, Immunology, Epidemiology, or a closely related scientific discipline
  • Hands-on research experience in an academic or industry laboratory
  • Professional written and spoken English proficiency at C1 level or higher
  • Deep expertise in microbiome science, metagenomics, clinical bioinformatics, or translational biomedical research
  • Strong understanding of microbial communities, host–microbiome interactions, and relevant biological research methodologies
  • Practical experience analysing 16S rRNA sequencing, shotgun metagenomics, virome, or other microbial sequencing datasets
  • Familiarity with microbiome analysis tools such as QIIME2, Kraken2, MetaPhlAn, HUMAnN, or comparable applications
  • Experience with metagenome assembly, genome binning, functional profiling, or microbial taxonomic classification is advantageous
  • Strong knowledge of clinical genomics, biomarker discovery, precision medicine, or relevant translational research applications
  • Familiarity with research resources such as TCGA, UK Biobank, or comparable clinical and biomedical datasets
  • Experience in oncology genomics, immunology research, survival analysis, or integrating electronic health records with omics data is beneficial
  • Practical proficiency in Python and/or R for scientific programming and quantitative biological analysis
  • Strong statistical and machine learning capabilities relevant to high-dimensional biological datasets
  • Familiarity with Bash, Linux environments, scientific workflow tools, or computational research pipelines is advantageous
  • Demonstrated ability to critically evaluate scientific literature, experimental methodologies, and computational analyses
  • Strong analytical reasoning, quantitative problem-solving, and biomedical research evaluation capabilities
  • Postdoctoral or industry research experience in microbiome, clinical, or translational research is preferred
  • Peer-reviewed publications, particularly first-author papers in relevant scientific journals, are highly valued
  • Hands-on wet lab experience involving microbiology, molecular biology, or relevant biomedical techniques is advantageous
  • Experience developing, reviewing, or benchmarking scientific content and research evaluations is beneficial
  • Excellent written communication skills, including the ability to explain complex scientific concepts and document technical reasoning clearly
  • Strong attention to detail and commitment to accurate, reproducible, and well-supported scientific conclusions

Engagement Details

  • Freelance / contract engagement
  • Fully remote — open worldwide
  • Compensation: $45–$90/hour
  • 50 available openings
  • Specialised scientific consulting role spanning microbiome research, metagenomics, clinical bioinformatics, translational science, and AI evaluation
  • Academic Requirement: Completed PhD in a relevant scientific discipline
  • Research Requirement: Hands-on laboratory research experience in an academic or industry environment
  • Language Requirement: Professional English proficiency at C1 level or higher
  • Work will involve scientific problem development, biomedical data interpretation, computational workflow assessment, and AI-generated research evaluation
  • Relevant focus areas include microbiome science, metagenomics, virome analysis, clinical genomics, biomarker discovery, and precision medicine
  • Assignments will require expert scientific reasoning, detailed evaluation rubrics, and reference solutions grounded in established research methodologies
  • Professionals will contribute to scientific quality assurance through structured feedback, technical documentation, and iterative review
  • Collaboration may involve biomedical researchers, bioinformatics specialists, and multidisciplinary technical contributors
  • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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