Ecological, Evolutionary & Environmental Sciences Subject Matter Expert

Work Location: US, remote

Engagement Model: Freelancer / Independent Contractor

Project duration: 3 months (with potential extension)

Work Schedule: Flexible hours, based on the applicant's availability

Language skills required: English

DataForce by TransPerfect is seeking a recent PhD graduate or early-career researcher specializing in Ecological, Evolutionary & Environmental Sciences to support a large-scale research and data validation project. The ideal candidate will have a strong academic research background and hands-on experience working with scientific datasets, publications, and research databases within their area of expertise.

Relevant backgrounds include Ecology, Evolutionary Biology, Marine Biology, and Environmental Science.

Main Responsibilities

• Review scientific content, publications, and research data within your area of expertise.

• Navigate and utilize leading research datasets, repositories, and databases relevant to ecological, evolutionary, and environmental sciences.

• Curate, validate, and organize scientific data.

• Identify incorrect, inconsistent, incomplete, or potentially misleading scientific information.

• Verify scientific claims against published research and established datasets.

• Assess data quality, relevance, and reliability.

• Support data annotation, classification, and quality assurance activities.

• Apply critical scientific thinking to evaluate research outputs and data sources.

• Clearly communicate findings, issues, and recommendations.

Role Requirements

• Education: PhD completed or recently completed in Ecology, Evolutionary Biology, Marine Biology, Environmental Science, or a related Life Sciences field.

• Experience: Up to 5 years of professional, academic, or postdoctoral experience.

• Demonstrated research experience through publications, thesis work, laboratory research, or postdoctoral projects.

• Experience working with scientific datasets and research databases.

• Familiarity with datasets, repositories, and data sources relevant to ecological, evolutionary, and environmental sciences.

• Strong analytical and problem-solving skills.

• Exceptional attention to detail.

• Ability to identify errors, inconsistencies, and quality issues in scientific data.

• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with data curation or data quality review.

• Experience using public scientific repositories and databases.

• Experience with data analysis or computational biology.

• Familiarity with AI-driven research tools.

• Experience reviewing scientific literature and validating scientific content.