Location: | London |
---|---|
Salary: | £43,305 to £50,685 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 7th March 2025 |
---|---|
Closes: | 30th March 2025 |
Job Ref: | 5354 |
About the Role
This is a new post at the forefront of medical research using very large clinical research databases. It lies at the interface between epidemiology, medical statistics, data science and clinical medicine. The successful candidate will provide support for a range of research activities with a strong focus on prediction modelling, primary care, and medication safety. The research undertaken by the group covers a broad range of medical topics including cardiovascular disease, cancer and safety of medicines in pregnancy. The post-holder will undertake original research through the complex analysis of data from the anonymised medical research databases. This postholder will work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in Pregnancy.
About You
The post would be ideally suited to someone proactive and ambitious who has obtained their PhD and has begun an academic career in data science, medical statistics, epidemiology or health services research.
About the School/Department/Institute/Project
The Wolfson Institute of Population Health harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally recognised centre of excellence in population health, primary care and preventive medicine.
The postholder will work in the newly established Predictive Medicine Group, within the Centre for Primary Care within the Institute. The Group, which has recently relocated to Queen Mary University of London (QMUL), is composed of academics, researchers, clinicians, data scientists and software engineers. The Group specialises in the advanced analyses of large electronic health care record databases, such as QResearch, to generate new knowledge to drive improvements in patient care for a wide range of clinical conditions. This includes the development, validation of prediction algorithms and their implementation as clinical tools into the NHS
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Type / Role:
Subject Area(s):
Location(s):