Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
The University of Manchester is seeking a Research Associate for a 17-month role focused on evaluating a new intervention for cancer detection in primary care. The successful candidate will work with leading researchers and analyze healthcare data, contributing to significant advancements in early cancer detection.
The primary role of the Research Associate will be conducting a clinical evaluation of an intervention to improve the early detection of cancer in primary care patients called the High or Elevated Level of Platelets (HELP) Flag. HELP Flag was developed by leading academics in primary care cancer research at the University of Exeter following on from their practice-changing studies demonstrating the increased risk of cancer diagnosis in primary care patients with persistent, unexplained elevated platelet levels. HELP Flag has already been implemented in Devon and is being rolled out in Greater Manchester and the Midlands with a view to national adoption if it is shown to be clinically and cost effective.
The post is available for 17 months in the first instance. You will join a multi-disciplinary team of researchers at the University of Manchester, the University of Exeter, and the University of Plymouth, and will collaborate with NHS Cancer Alliances and Hospital Trusts in Greater Manchester, Devon, and the Midlands.
The role will involve accessing, cleaning and analysing clinical data extracted from NHS primary and secondary care records in participating regions using an NHS Secure Data Environment (SDE). Data extractions from the SDEs involved in this study will occur at multiple time points during the project. The postholder will work closely with Dr Merriel and the lead statistician in the research team at the University of Exeter on this clinical evaluation. The role also involves supporting the PPI leads on conducting and evaluating PPI activities related to the study.
You will need to hold a PhD that includes training in quantitative research methods. You will have experience with handling, cleaning, linking and analysing routinely collected healthcare data. You will be experienced in advanced biostatistical techniques including multilevel logistic regression and survival analysis. Experience with cancer-related research and patient & public involvement (PPI) in health research is highly desirable.
What you will get in return: