The posting
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.



