Research Assistant / Engineer (CPL1)

Job no: 497877
Department: Health and Social Sciences
Contract type: Contract
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

The primary responsibility of this role is to deliver on industry innovation research where you will be part of the research team to investigate physical activity, sleep and social interaction patterns after stroke.

Key Responsibilities:

• Participate in and manage the research project with Principal Investigator (PI) and the
research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
i. Conduct literature reviews, collect and analyse data. Prepare data collection
forms/interview questions/questionnaire and recruit and/or interview subjects. Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary.
ii. Provide ready access to all experimental data for the faculty researcher and/or supervisor.
iii. Prepare materials for submission to granting agencies, foundations and Ethics Committee review.
iv. Prepare, maintain, and update website materials.
v. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
vi. Prepare progress reports for the PI and funding agency. Prepare other articles, reports, and presentations.
vii. Coordinate and attend project meetings, monitor the project budget and work on other projects and initiatives, as required.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.

Job Requirements:

• A good degree in relevant discipline (e.g. physiotherapy, occupational therapy, psychology, public health, geriatrics, gerontology, medicine, allied health, nursing etc). Possessing a Master’s degree will be advantageous.
• Candidates with a non-healthcare degree are welcome to apply.
• Ability to use MATLAB, SPSS, R for statistical analyses and visualisation will be an
• Some research and/or clinical experience in the area of stroke rehabilitation or care will be an advantage.




Apply now
Advertised: Singapore Standard Time
Applications close: Singapore Standard Time

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