Research Scientist - Data Curation and Validation

Are you a PhD-level researcher looking for a high-impact, flexible role where your domain expertise is the primary asset? Emerge is looking for recent PhD graduates and early-career researchers to join a high-stakes, large-scale research and data validation project. We are moving quickly and looking to onboard the right team members starting next week.

About the role

Move beyond the bench and apply your scientific rigor to curate and validate the datasets that power future research. You will be responsible for reviewing scientific content, cross-referencing claims against established repositories, and ensuring data integrity across complex Life Science domains.

Commitment: 25-35 hours per week
Start Date: Next week
Location: Remote
Pay: $50/hour - $90/hour (dependent upon experience and area of scientific discipline)

Requirements

• PhD Level Expertise: You have a completed (or recently completed) PhD in a Life Sciences discipline.
• Proven Research Rigor: You have a track record of publications in major journals and deep experience working with domain-specific datasets and research databases.
• Analytical Precision: You are the person who catches the missing decimal point or the contradictory claim in a literature review.
• Technical Literacy: You know your way around the major databases, repositories, and data sources in your specific field.

Responsibilities

• Data Validation: Assess scientific claims against published literature and established datasets.
• Quality Assurance: Identify inconsistencies, errors, and misleading information in scientific datasets.
• Curate & Organize: Annotate and classify research data to ensure high-quality standards.
• Critical Thinking: Apply your deep scientific knowledge to evaluate the relevance and reliability of research outputs.

Targeted Disciplines

We are hiring across a broad spectrum of Life Sciences, including:

• Molecular & Cellular: Molecular/Cell Biology, Genetics, Genomics, Biochemistry.
• Organismal: Botany, Zoology, Microbiology, Anatomy, Physiology.
• Ecology & Environment: Ecology, Evolutionary Biology, Marine Biology, Environmental Science.
• Applied & Quantitative: Pharmacology, Toxicology, Biotechnology, Bioinformatics, Computational Biology, Neuroscience, Immunology.

Benefits

This is a rare opportunity for early-career PhDs to apply their academic training in an intellectually stimulating project that demands scientific integrity. If you want to use your expertise to shape the future of scientific data quality in a flexible, project-based environment, we want to hear from you.