Computational Chemistry, Structural Biology & Drug Discovery Scientist - Remot

Job Description: Clinical, Microbiome & Translational Research Scientist (PhD)

Role Type: Contractor

Location: Remote (Worldwide)

About the Role

We are seeking PhD-level experts in clinical research, microbiome science, and translational bioinformatics to contribute their scientific expertise to the development and evaluation of next-generation AI systems.

In this role, you will create advanced scientific problems, evaluate AI-generated responses, and assess the accuracy, rigor, and depth of scientific reasoning. Your contributions will help ensure that AI systems deliver reliable, evidence-based insights across microbiome research, clinical bioinformatics, and translational life sciences.

Key Responsibilities

Design and develop challenging, expert-level scientific problems in microbiome research, metagenomics, clinical bioinformatics, and related life sciences, with clear and verifiable solutions.

Review and evaluate AI-generated outputs for scientific accuracy, methodological rigor, and depth of reasoning.

Identify subtle scientific errors, unsupported conclusions, and methodological limitations.

Develop detailed evaluation rubrics and reference answers grounded in primary literature and established research methodologies.

Apply domain expertise in areas such as 16S and shotgun metagenomics, virome and host-microbiome analysis, biomarker discovery, clinical genomics, and omics-driven precision medicine.

Provide clear, detailed written explanations of scientific reasoning to support expert review and validation.

Maintain high-quality standards through iterative feedback, revisions, and peer review.

Required Qualifications

PhD in Microbiology, Bioinformatics, Computational Biology, Biomedical Sciences, Immunology, Epidemiology, or a closely related field.

Hands-on research experience in an academic or industry laboratory. Wet lab experience is an advantage.

Professional written and spoken English proficiency (C1 level or higher).

Preferred Skills and Qualifications

Postdoctoral or industry research experience in microbiome, clinical, or translational research.

Peer-reviewed publications, preferably as a first author in relevant scientific journals.

Experience with microbiome analysis tools such as QIIME2, Kraken2, MetaPhlAn, HUMAnN, MAG assembly and binning, or virome analysis tools.

Clinical and translational research experience involving TCGA, UK Biobank, biomarker discovery, survival analysis, electronic health record (EHR) and omics integration, or oncology and immunology genomics.

Strong knowledge of statistics and machine learning methods for high-dimensional biological data.

Programming proficiency in Python and/or R, with familiarity with Bash and workflow management tools.

Experience reviewing, benchmarking, or developing scientific content.

Originally posted on Himalayas