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About Micro1: Role Title: Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD)Role Type: ContractorLocation: 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 ResponsibilitiesDesign and write challenging, expert-level scientific problems in computational chemistry, structural biology, and drug discovery, with clear, verifiable solutions.Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, identifying subtle errors that non-specialists would miss.Develop detailed rubrics and reference answers grounded in the primary literature and established methodology.Apply domain expertise across areas such as molecular modeling and simulation, protein structure prediction and design, virtual screening and docking, QSAR/ADMET modeling, and proteomics/metabolomics data analysis.Provide clear written explanations of your reasoning, so that other experts can follow and validate it.Meet quality standards through iterative feedback and peer review cycles.Required Qualifications (MUST)PhD in Computational Chemistry, Structural Biology, Biophysics, Bioinformatics, Medicinal Chemistry, Biochemistry, 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 SkillsPostdoctoral or industry research experience (pharma/biotech) in drug discovery or structural biology.Strong publication record, particularly first-author papers in relevant journals.Molecular modeling and simulation: GROMACS, AMBER, NAMD, OpenMM, free energy methods (FEP/TI).Structure prediction and design: AlphaFold, Rosetta, homology modeling, cryo-EM / X-ray crystallography data interpretation.Docking and virtual screening: AutoDock, Glide, Schrödinger Suite, MOE.Cheminformatics: RDKit, QSAR/QSPR, ADMET prediction, fingerprinting, library design.Proteomics and metabolomics: LC-MS/MS, MaxQuant, DIA/DDA workflows, PTM analysis, untargeted metabolomics.Programming: Python (required in practice), plus R, Bash, or similar; experience with ML for molecular property prediction (GNNs, generative models) is a plus.Experience with benchmarking, model evaluation, or scientific writing/reviewing.Ability to explain complex scientific concepts clearly and precisely in writing.

About Micro1: Job Title: Clinical, Microbiome & Translational Research Scientist (PhD)Job Type: ContractorLocation: 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 ResponsibilitiesDesign 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 SkillsPostdoctoral 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.

About Micro1: Job Title: Life Sciences Research Scientist (PhD): Wet Lab & Computational BiologyJob Type: ContractorLocation: 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 ResponsibilitiesDesign and write challenging, expert-level scientific problems in the life sciences, with clear, verifiable solutions.Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors that non-specialists would miss.Develop detailed rubrics and reference answers grounded in primary literature and established experimental and computational methodology.Apply your domain expertise in areas such as genomics, transcriptomics and single-cell/spatial omics, epigenomics, proteomics and metabolomics, microbiome and metagenomics, structural biology, drug discovery, systems biology, and clinical/translational research.Bridge experimental and computational perspectives: assess whether a proposed experiment, analysis pipeline, or interpretation is scientifically sound.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)Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field.Hands-on research experience in an academic, institutional, or industry research laboratory.Professional written and spoken English (C1 or higher).Strongly PreferredWet lab experience: you have personally performed experiments (e.g., PCR/qPCR, cell culture, sequencing library prep, Western blot, protein purification, LC-MS sample prep, CRISPR workflows).Academic research experience: postdoctoral position, staff scientist, research faculty, or equivalent.Peer-reviewed publications, ideally as first or corresponding author.PhD from a top research university (US, UK, or other leading institutions).