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.

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Job Description