Job Description
We intend to recruit a full-time Research Fellow for the lead faculty of the ADVANcing Clinical Evidence in Infectious Diseases Network (ADVANCE-ID).
The Research Fellow will be working closely with the Associate Professor Mo Yin and Assistant Professor Cai Yiying to deliver ADVANCE ID’s aims and objectives.
Job Description
- To work with the lead investigators on collaborative and international research nationally and globally
- Prepare and coordinate research ethics protocols
- Assist in developing and submitting research grant proposals
- Oversee and manage projects (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform statistical analysis), with guidance
- Design and perform qualitative and quantitative health technology assessments (cost analysis, cost effectiveness analysis, budget impact analysis, surveys, focus group discussions, discrete choice experiments, structured expert elicitation), with guidance
- Perform statistical analyses and other data analyses
- Draft research abstracts and manuscripts
- Prepare and present materials for stakeholders
- Support the dissemination of research outcomes through appropriate channels and outlets including guidelines and policy recommendations
- Be involved in capacity building in the region by supporting workshops and relevant training activities
- Assist with the supervision of research students, interns and research assistants where required
- Support other secretariat and administrative functions of ADVANCE-ID as necessary
Qualifications
- Doctoral degree in a relevant discipline, such as health technology assessment, health economics, epidemiology, public health, health services research, clinical research, or a related field
- At least two years of relevant experience in clinical research or health services research
- Demonstrated experience of HTA methodologies and evidence assessment, including the ability to critically appraise evidence and assess the potential benefits, risks, outcomes, and impacts of health technologies to inform decision-making
- Demonstrated experience in translating complex evidence into clear, decision-relevant impact assessments will be beneficial
- Excellent written and verbal communication skills in English, with the ability to prepare high-quality reports, presentations, technical papers, and publications, and to present findings clearly to technical, policy, clinical, and other stakeholder audiences
- Highly organised and able to work effectively both independently and collaboratively
Recruitment is open immediately, and will continue until all positions are filled.
For further enquiries, please contact Dr Ding Ying at y_ding@nus.edu.sg
Please note that only shortlisted candidates will be contacted.
More Information
Location: Kent Ridge Campus
Organization: Saw Swee Hock School of Public Health
Department: Saw Swee Hock School of Public Health
Employee Referral Eligible: No
Job requisition ID: 34410