Job description

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-Assistant-%28Epidemiology%29/32828-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health: Research Assistant (Epidemiology)

The candidate will lead academic research on cognition in study cohorts, assist in research procedures, conduct data analysis and write scientific manuscripts. 

Candidates will gain extensive training and exposure to research skills (study conduct / planning, data analysis, and scientific writing) as well as supervision skills.

Job Description

• Work with research team to develop project plans, which include requirements, scope, deliverables, budget and schedules.
• Oversee and plan project demands and determine project goals to ensure the project supports research objectives and strategies
• Identify, manage and track issues, risks and dependencies that affect the delivery of the project outcome.
• Apply for ethics approval and amendments of the designated research projects
• Assist in data entry and data analysis of research projects
• Conduct assessment and follow-up of research participants
• Present project updates to grantors and team members on a regular basis.
• Analyse data using sophisticated stats tools such as STATA, R, Python and able to write scientific manuscript
• The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

EDUCATION, TRAINING AND EXPERIENCE

BSc, BA, BA (Psych) or relevant Background. Applicants with Masters are welcome to apply

Requirements

• Very good written and oral communication skills.
• Able to speak Malay as the candidate will deal with Malay speaking participants in the research study
• Has relevant hands-on experience working with different softwares and digital platform in a team.
• Good grasp of latest IT technologies, methodologies and best practices
• Hands-on experience in designing and developing application using Java EE, Spring
• Hands-on experience with machine learning algorithms and brain imaging processing
• Possess leadership qualities and strong interpersonal skills with the ability to work with different collaborators
• Possess a can-do attitude towards complex challenges
• Experience in healthcare industry and research settings is an added advantage

Recruitment is open immediately, and will continue until all positions are filled.

For further enquiries, please contact Dr Saima Hilal at saimahilal@nus.edu.sg.

Please note that only shortlisted candidates will be contacted.