Life Sciences Researcher – AI Data Validation Project [INDIA]

Truelancer AI; United States; Remote; USD 55,000 - 90,000; Part time

Job summary

Truelancer AI is 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.

Qualifications

• PhD completed or recently completed in Life Sciences.
• 0–5 years of professional, academic, or postdoctoral experience.
• Experience with publications, thesis work, lab research, or postdoctoral projects.
• Experience 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.

Responsibilities

• Review and evaluate scientific content, publications, and 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.

Skills

Strong analytical skills

Attention to detail

Strong written English communication

Critical thinking

Data quality assessment

Education

PhD in Life Sciences

Recent PhD or Postdoc

Tools

AI-assisted research tools

Scientific data repositories

Job description

Truelancer AI is 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

• 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.
• 0–5 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
Contract: 1099
Education: PhD / Recent PhD / Postdoctoral Research
Work Mode: Remote | 25 hrs to 35 hrs / Week

Your scientific expertise can help make AI more accurate, reliable, and trustworthy.