About this role
Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology
Bayt AI Training Jobs, by AI Training Partner
14 minutes ago 2026/12/14
·Application closes in 59 days
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Job description
Job Title: Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology
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
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Design and write challenging, expert-level scientific problems in the life sciences, with clear, verifiable solutions.
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Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors that non-specialists would miss.
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Develop detailed rubrics and reference answers grounded in primary literature and established experimental and computational methodology.
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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.
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Bridge experimental and computational perspectives: assess whether a proposed experiment, analysis pipeline, or interpretation is scientifically sound.
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Provide clear written explanations of your reasoning so other experts can follow and validate it.
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Meet quality standards through iterative feedback and peer review.
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Required Qualifications (MUST)
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Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field.
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Hands-on research experience in an academic, institutional, or industry research laboratory.
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Professional written and spoken English (C1 or higher).
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Strongly Preferred
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Wet 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).
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Academic research experience: postdoctoral position, staff scientist, research faculty, or equivalent.
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Peer-reviewed publications, ideally as first or corresponding author.
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PhD from a top research university (US, UK, or other leading institutions).
Skills
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computational chemistry, molecular simulations, python, gaussian, gromacs, lammps, amber, orca, psi4, cheminformatics, electronic structure methods, scientific software configuration, molecular dynamics, drug discovery, ai/ml-assisted chemistry workflows, quantitative analysis, analytical reasoning, scientific programming, written communication, verbal communication, documentation, problem-solving
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This job post has been translated by AI and may contain minor differences or errors.
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