Main Responsibilities: • Literature Review: Conduct comprehensive literature reviews on topics relevant to nutrition and health research. • Research Plan Development: Develop research plans by integrating literature insights with primary data needs, selecting appropriate statistical and machine-learning approaches. • Data Analysis: Clean and analyze primary datasets using statistical techniques, time‑series models, and machine‑learning algorithms to identify trends and generate insights. • Reporting: Produce clear reports and visualizations summarizing key findings from analysis results. Qualifications: • Passion for Nutrition: Demonstrated enthusiasm for scientific discovery to improve health through nutrition. • Research Literacy and Critical Thinking: Proficiency in reading and extracting relevant information from scientific literature. Ability to critically evaluate research findings. • Curiosity and Deeply Care about Science : Strong curiosity-driven mindset with the ability to shape research questions and develop research plans. • Communication Skills: Excellent verbal and written scientific communication skills. • Analytical Thinking: Structural and systematic thinking to connect insights from various research studies and integrate them into cohesive plans. • Independence: Ability to work independently, take ownership of tasks and deliver high-quality results. • Educational Background: Currently enrolled as a Master’s or Ph.D. student in fields related to Statistics, Data Analytics, Nutrition, Health, Behavior, Psychology, or Life Sciences. • Language Proficiency: Fluency in English, both spoken and written.