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We are looking for PhD researchers and early-career scientists in Life Sciences to participate in a large-scale AI research, scientific data validation, and quality evaluation project. If you have a strong research background and enjoy working with scientific literature, datasets, and research databases, this is an opportunity to apply your domain expertise to next-generation AI systems. Who We're Looking For We are looking for recent PhD graduates, postdoctoral researchers, and early-career researchers with expertise in: Molecular & Cellular Life Sciences Molecular BiologyCell BiologyGeneticsGenomicsBiochemistryOrganismal Biology BotanyZoologyMicrobiologyAnatomyPhysiologyEcological, Evolutionary & Environmental Sciences EcologyEvolutionary BiologyMarine BiologyEnvironmental ScienceHealth, Applied & Quantitative Sciences PharmacologyToxicologyBiotechnologyBioinformaticsComputational BiologyNeuroscienceImmunology What You'll Do As a Life Sciences Researcher, you will: Review and evaluate scientific content, publications, and research data.Validate scientific information against peer-reviewed research and trusted datasets.Work with scientific databases, repositories, and research datasets.Identify inaccurate, incomplete, inconsistent, or misleading information.Curate, classify, and organize scientific data.Perform data annotation and quality assurance.Evaluate the reliability, relevance, and quality of research data.Apply scientific reasoning to assess research outputs.Document findings and clearly communicate recommendations.Requirements PhD completed or recently completed in a relevant Life Sciences discipline.15 years of professional, academic, or postdoctoral experience.Strong research experience through publications, thesis work, laboratory research, or postdoctoral projects.Experience working with scientific datasets, repositories, or research databases.Strong understanding of research methodologies and scientific literature.Excellent analytical and critical-thinking skills.Exceptional attention to detail.Ability to identify scientific errors, inconsistencies, and data-quality issues.Strong written English communication skills.Good to Have Experience in scientific data curation or quality review.Experience with public scientific repositories and databases.Bioinformatics, computational biology, or data-analysis experience.Experience using AI-assisted research tools.Experience reviewing and fact-checking scientific literature.Experience with annotation, evaluation, or AI data projects.Why Join Work on cutting-edge AI and scientific research projects.Apply your PhD expertise outside traditional research roles.Work remotely with flexible project-based opportunities.Contribute to improving the quality and reliability of AI systems.Opportunity to work with a global AI research ecosystem through Truelancer AI.Engagement Role: Life Sciences Researcher / Scientific Data Validator Experience: 15 years Education: PhD / Recent PhD / Postdoctoral Research Work Mode: Remote | 25 hrs to 35 hrs / Week Apply Now If you are a PhD researcher or early-career scientist with strong expertise in Life Sciences and want to contribute to the development of next-generation AI systems, apply on Truelancer AI today. Your scientific expertise can help make AI more accurate, reliable, and trustworthy. Email : [HIDDEN TEXT] .