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.
- Prospect 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.

Email : [HIDDEN TEXT]

📌 Life Sciences Researcher AI Data Validation Project (India)
🏢 MyRemoteTeam
📍 India