Research Assistant Epidemiology
Job Summary
The Research Assistant will lead academic research on cognition in study cohorts, conduct data analysis, and write scientific manuscripts. The role involves managing research procedures, tracking project milestones, and coordinating with research participants. Candidates will gain extensive training in study conduct, data analysis, and scientific writing.
Responsibilities
- Develop project plans and manage research schedules
- Apply for ethics approval for research projects
- Perform data entry and sophisticated statistical analysis
- Conduct participant assessments and follow-ups
- Author scientific manuscripts and present updates
Required Skills
- BSc/BA in relevant field
- Fluency in Malay language
- Proficiency in STATA, R, Python
- Experience in Java EE and Spring
- Knowledge of ML and brain imaging
Job Details
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