Research Fellow (Contract, Endocrinology Services)

We are currently seeking a motivated Research Fellow to join our multidisciplinary research team investigating the growth and developmental aspects of adolescence through large-scale studies such as the GUSTO and S-PRESTO cohorts. You will engage in studies on how brain-body interactions, cognitive-emotional development, physical health, and lifestyle factors such as obesity and sleep patterns play a role in the growth and development of a child during adolescence. This work aims to identify areas for screening and intervention, shaping strategies and informing adolescent-specific recommendations on nutrition, physical activity, sleep, and mental well-being. Key Responsibilities: • Collaborate closely with the Principal Investigator to design, plan, and execute research projects focusing on adolescent growth and development, particularly the interactions between cognitive-emotional development, physical health, and lifestyle factors. • Independently design and analyse research data, provide expert guidance and supervise data analysis, and collaborate with others on dataset integration, analysis, and results interpretation. • Monitor and manage the day-to-day progress of research projects, ensuring adherence to timelines and deadlines. • Manage administrative responsibilities related to IRB applications, ensuring compliance with ethical, regulatory, and legal standards, and liaise with supporting departments and stakeholders. • Present research findings at national and international conferences and publish results in peer-reviewed scientific journals. • Contribute to the development of grant proposals and reports for funding agencies. • Collaborate with multidisciplinary teams, including healthcare providers, researchers, public health experts from universities, government agencies, and industrial partners. • Perform any other related duties as assigned. Job Requirement: • PhD in Epidemiology, Public Health Sciences, Biostatistics, Bioinformatics, Nutrition or a related discipline. • Experience in statistical analysis using programmes such as R or Stata with a focus on health data modelling. • Relevant experience in a clinical research setting. • Good written and verbal communication skills with an ability to communicate complex concepts to diverse audiences. • A track record of peer-reviewed publications. • Ability to work independently and with a team to facilitate effective collaboration. • Experience with AI and machine learning methods is preferred. Applications are on-going and we regret to inform that only shortlisted candidates will be notified through email.