Research Fellow (ALCNS)

Interested applicants are invited to apply directly at the  NUS Career Portal. Please note your  application will only be processed if you  apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28ALCNS%29/34481-en_GB/?st=91B23EEA32C813C27CE2B8B4E6352F117A8752FF

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a passionate and detail-oriented individual to join the digital behavioural insights lab (DBI) as a Research Fellow depending on your qualification. Our focus is on developing, implementing and evaluating digital health lifestyle interventions and cardiometabolic disease prevention and management. This is a full-time on-site position located in Singapore. The successful candidate will be responsible for conducting research, performing data collection analysis, and contributing to academic publications and presentations. They will also assist in the preparation of project reports and collaborate with interdisciplinary teams. 

Duties:

The appointee will be involved in the full lifecycle of research projects, from study design to publication. This includes development, operationalisation and evaluation of lifestyle modification regimes, machine learning models, computer simulations, and app/software engineering. This role requires strong academic writing skills and the ability to manage multiple components of research independently.

Key responsibilities include:

1. Data collection, standardized challenge tests (e.g. CPET, MMTT) contributing to the entire academic paper writing process, including drafting, reviewing, revising, and submitting manuscripts
2. Performing basic statistical analyses
3. Preparing and submitting ethics applications to the Institutional Review Board (IRB) or other relevant ethics board
4. Coordinating and supervising assigned projects - including screening and recruitment, liaising with other departments, and managing participant appointments
5. Supporting participant recruitment and onboarding for research studies
6. Participating in data collection activities, ranging from online surveys (e.g., Qualtrics) to in-person data collection
7. Cleaning, managing and updating large datasets throughout the course of the studies
8. Assisting with the review, amendment, and resubmission of manuscripts as needed

Qualifications

• Strong Analytical Skills and ability to interpret research data and findings
• Expertise in Data Analysis, software engineering, machine learning including the use of relevant software and tools
• PhD in a relevant field (e.g., healthcare degrees, life sciences, engineering, or related disciplines)
• Strong organizational skills and the ability to meet project deadlines
• Prior academic or applied research experience is advantageous 

Preferred qualifications:

• Familiarity with coding for analysis of large datasets and automation of routine tasks

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

Formal application: Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees via the NUS Careers Portal.

Only shortlisted candidates will be notified.