Research Assistant, Human Potential Translational Research Programme
The National University of Singapore invites applications for Research Assistant in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment.
Appointments will be made on one-year contract, with the possibility of one-year extension.
Purpose of the post
The Research Assistant will be responsible to, and work closely with, the Principal Investigators and study team members to ensure the successful completion of projects in the programme on time. The RA’s principal role will be to work in general practices such as recruitment of volunteers for the projects, data collection, data entry and analysis and drafting of publications and reports.a
Main duties and responsibilities
The Research Assistant will liaise with the relevant personnel to smooth the process of recruitment and data collection and will be accountable to the Principal Investigators.
The Research Assistant will:
- Provide administrative and secretarial support to the project, such as data collections, recruitment processes, coding and machine learning;
- Maintain regular communication with other members of the research team and collaborate with the study sites;
- Undertake the day to day running of the project at the study site, e.g. Collaborate with team members at the study sites and conduct human trials;
- Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
- Assist with any other duties of a similar nature that are delegated by the Principal Investigators.
- Work at different study sites, depending on the needs; and
- Work beyond routine work hours due to the nature of our research.
The applicant should:
- have a Bachelor’s degree, preferably in Biomedical Engineering, sports science, life sciences or related disciplines;
- preferably have some experiences in research especially in conducting human trials;
- have coding or machine learning experience;
- be able to work independently and in a team;
- have an investigative nature and detail-oriented
- have knowledge of computer applications, e.g. SPSS, MS Office, coding.
Remuneration will be commensurate with the candidate’s qualifications and experience.
Only shortlisted candidates will be notified.