Research Coordinator & Data Scientist

The role of Research Coordinator & Data Scientist requires a blend of project management and advanced data analysis skills. A successful candidate should have experience coordinating research projects, including planning, organizing, and overseeing research activities to ensure timely and accurate completion. Strong communication and collaboration abilities are essential to work effectively with interdisciplinary teams, stakeholders, and possibly external partners. On the data science side, proficiency in statistical analysis, data modeling, and machine learning techniques is important. Familiarity with programming languages commonly used in data science, such as Python or R, and experience with data manipulation libraries and frameworks are expected. The ability to clean, preprocess, and analyze large datasets to derive actionable insights is critical. Experience with data visualization tools and techniques to present findings clearly to both technical and non-technical audiences is also valuable. Knowledge of research methodologies, experimental design, and ethical considerations in research is necessary to ensure data integrity and compliance with standards. The role may also require skills in database management, data storage solutions, and possibly cloud computing platforms to handle big data efficiently. While specific experience and education levels are not provided, the position likely demands a candidate with a solid academic background in a quantitative field and practical experience in both research coordination and data science.