Economist

We are seeking recent PhD graduates and early-career researchers in Life Sciences to support a large-scale research and data validation project. The ideal candidate will have a strong academic research background, hands-on experience working with scientific datasets, and the ability to navigate, interpret, curate, and validate research data within their area of expertise.Candidates should be familiar with the major datasets, repositories, and databases used in their domain and possess a high level of attention to detail to identify inaccuracies, inconsistencies, or misleading information.Domain : EconomicsKey Responsibilities• Review scientific content, publications, and research data within your area of expertise.• Navigate and utilize leading research datasets, repositories, and databases relevant to your discipline.• Curate, validate, and organize scientific data.• Identify incorrect, inconsistent, incomplete, or potentially misleading 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 and recommendations.Required Qualifications• PhD completed or recently completed in a relevant Economics field.• 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 commonly used datasets, repositories, and data sources within your area of specialization.• 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.• Bioinformatics, computational biology, or data analysis experience.• Familiarity with AI-driven research tools.• Experience reviewing scientific literature and validating scientific content.