Life Sciences Researcher AI Data Validation Project

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 Biology
• Cell Biology
• Genetics
• Genomics
• Biochemistry

Organismal Biology

• Botany
• Zoology
• Microbiology
• Anatomy
• Physiology

Ecological, Evolutionary & Environmental Sciences

• Ecology
• Evolutionary Biology
• Marine Biology
• Environmental Science

Health, Applied & Quantitative Sciences

• Pharmacology
• Toxicology
• Biotechnology
• Bioinformatics
• Computational Biology
• Neuroscience
• Immunology

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.
• 1–5 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: 1–5 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.

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