About this role
Salary: Full time starting salary is normally in the range £47,389 to £56,535 with potential progression once in post to £63,606
Contract Type: Fixed Term contract up to September 2030
Background
The NIHR Research Professorship focuses on survivor engagement, multi-sector data integration using Secure Data Environments, trauma-informed care, maternity-related health inequalities, and advancing national and global work on violence against women and children. This post will deliver the quantitative work package: WP2 ‘Estimating the burden associated with violence against women and children and trauma, using advanced epidemiology, multi-sector data linkage, statistical modelling and risk factor estimation.’
The Fellow will also contribute (as a secondary aspect) to aligned programmes within Professor Chandan’s portfolio, including the Hub for Health Inequalities, the NIHR Challenge: Maternity Disparities Consortium, and the NIHR Global Health Research Group (https://fundingawards.nihr.ac.uk/award/NIHR156915).
The role will involve planning and co-ordinating high-quality quantitative research, including advanced epidemiological analyses, health inequalities modelling, and SDE-based data linkage. The postholder will lead the analytical and quantitative components of WP2, including exposure–outcome modelling, risk estimation, and burden estimation (e.g., incident, DALY-like approaches, population-attributable fractions). The role will also contribute to development of a UK analytical hub connected to the GBD Europe initiative through quantitative risk factor estimation and model development.
Person Specification
The post requires strong quantitative skills to support multi-level epidemiological analyses, causal inference, risk factor estimation, health inequalities modelling and complex dataset construction.
Applicants will: hold a PhD in a relevant discipline such as epidemiology, medical statistics, public health, data science, or similar, or equivalent qualifications; have extensive research experience and scholarship within applied quantitative methods, epidemiology, biostatistics, health data science, or related fields; be able to work collaboratively and supervise the work of others; be highly skilled in writing scientific papers.
Informal enquiries can be made to Joht Chandan, email: [email protected]
To download the full job description and details of this position and submit an electronic application online please click on the 'Apply' button above.
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