Full time research assistant (data scientist) for the project “Cataloguing Crop Traits and Breeders Across the OECD 1980-2025”

This role as a full-time research assistant with a focus on data science involves supporting the project titled "Cataloguing Crop Traits and Breeders Across the OECD 1980-2025." The position likely requires competencies in data collection, cleaning, and analysis related to agricultural datasets spanning several decades and multiple countries within the OECD. Candidates should be proficient in data science methodologies, including statistical analysis, data mining, and possibly machine learning techniques to extract meaningful insights from complex crop trait and breeder information. Familiarity with agricultural or biological data and domain knowledge in crop science or plant breeding would be advantageous. Strong skills in programming languages commonly used in data science, such as Python or R, and experience with data visualization tools and databases are important. The ability to manage large datasets and ensure data quality and integrity is essential. Given the research context, experience with academic or scientific research protocols, report writing, and collaboration within interdisciplinary teams would be beneficial. While specific experience and education levels are not detailed, the role suggests a requirement for at least a bachelor's degree in data science, statistics, agriculture, biology, or a related field, with practical experience in data-driven research projects. Overall, the position demands a combination of technical data science skills, domain-specific knowledge in crop traits and breeding, and research assistance capabilities to contribute effectively to this long-term, international agricultural research initiative.