Academic Clinical Lecturer or Clinical Research Fellow (Honorary Lecturer) in Public Health/Honorary

Overview

The University of Leicester is seeking an ambitious and academically motivated Academic Clinical Lecturer or Clinical Research Fellow in Public Health within the College of Life Sciences. Working in partnership with the East Midlands Public Health Training Programme, the position combines academic research and teaching with specialist public health training. The selected individual will split their time roughly evenly between academic pursuits and public health training, with the potential to organize research into dedicated blocks.

What you get

The position involves developing a high-quality programme of public health research, publishing in peer-reviewed journals, presenting findings at national and international levels, building collaborations, and seeking external research funding. Additionally, the role involves contributing to undergraduate and postgraduate teaching, including epidemiology and public health topics within the medical programme.

Requirements

Applicants must be Public Health trainees at ST3 level or above with a strong academic background and a commitment to academic public health. Candidates need a solid grasp of research methodologies, epidemiology, and statistics, alongside experience working in the NHS or other Public Health Training Network settings. A coherent and feasible research plan is required, alongside holding or working toward a higher degree such as an MPH, MSc, MD, or PhD. Specifically, candidates aiming for the Academic Clinical Lecturer designation must possess an MD or PhD related to Public Health in addition to an MPH or MSc, while those meeting other criteria may be considered for the Clinical Research Fellow role. Strong organizational skills, excellent communication abilities, and the capacity to work independently and collaboratively are essential. Advantageous qualifications include prior research experience, peer-reviewed publications, teaching or assessment experience, and familiarity with statistical software packages such as R, STATA, or SPSS.

Key dates

The closing date for applications is 2026-12-01.