What are the responsibilities and job description for the Research Associate in Medical Statistics position at The University of Manchester?
We are seeking a Research Associate in medical statistics – with specific expertise in prediction modelling and use of electronic health records. The role holder will be involved with a range of projects – including “CanCYP : a tool to enable cancer risk prediction in children and young people with a cancer predisposing gene alteration” in which we will use real world health data to develop a clinician facing decision support tool. There is currently an unmet but critical need to have better second primary cancer risk data so that appropriate surveillance / early detection measures can be put in place. This project will integrate the National Cancer Registry (NCRAS) with NHS germline genomics lab data. We will then develop and validate models to predict primary cancer risks in children and young people and produce a clinician-facing cancer risk calculator.
You will join an engaged data science community at Manchester with of over 400 investigators working across the University in different disciplines allied to data sciences and connected through the Institute for Data Science and Artificial Intelligence. Our expertise covers the complete data science life-cycle : from information management, through analytics, to practical applications. A key feature of our approach is very close coupling between methodologists and translational scientists, drawing on strength-in-depth in real-world applications of data science. This creates a virtuous circle, where challenging real-world problems drive the methodology research agenda, whilst providing a natural route to exploiting new algorithms and methods. We believe this deeply multidisciplinary approach is one of the distinctive features of data science at Manchester. Manchester is a member of The Alan Turing Institute : the UK’s national institute for data science, and researchers at Manchester lead a Turing research programme in health.
The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. An appointment will always be made on merit.
