Senior Research Fellow

About the role

The Senior Research Fellow works closely with researchers and committees, internal and external, to develop, facilitate and manage collaborative projects. Key tasks include analysing data, preparing project protocols and preparing manuscripts for submission to peer-reviewed journals. The role is split between specific duties (about 80% of the work) and general duties (about 20%).

Key responsibilities

• Work with principal investigators, collaborators and research support staff to develop research projects and grant proposals.
• Lead the development of the assigned research programme and pursue external or internal funding; identify funding sources and help secure grants.
• Prepare manuscripts for peer-reviewed journals through literature review, data analysis and drafting.
• Prepare research grant applications, advise on study design and coordinate inputs from collaborators.
• Liaise with collaborators to integrate clinical and scientific information into new and ongoing projects.
• Present study results at local and international scientific conferences.
• Contribute to knowledge generation, exchange and transfer activities.
• Act as research team leader where needed, coach colleagues and plan, coordinate and implement research programmes, including managing research resources and budgets.
• General duties: take part in hospital/institute quality improvement activities, support events such as Clinical Audit Day and Quality Day, and cover the duties of research assistants or fellows on leave.

Required profile

• PhD or Master's degree (minimum) in Life Sciences, Public Health or equivalent.
• Good knowledge of epidemiology and/or biostatistics preferred.
• At least 2 years of experience in academic or clinical research projects.
• Experience in grant administration and grant writing.
• Excellent oral and written English, critical thinking and quick learning ability.
• Track record of high-quality publications and/or innovation outputs.

Required skills

• Microsoft Word, Excel and PowerPoint.
• At least one statistical software package such as SPSS, Stata or R.