Location: | London |
---|---|
Salary: | £42,405 to £49,785 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 28th August 2024 |
---|---|
Closes: | 30th August 2024 |
Job Ref: | 3089 |
About the Role
Applications are invited for the role of Postdoctoral Research Associate in the Centre for Cancer Screening, Prevention and Early Diagnosis (CCSPED) to contribute to a new multi-institution collaboration. Our aim is to develop innovative prediction models, which will be integrated with information collected by a ‘virtual human’ prior to GP-consultations, to help identify individuals with cancer early. The successful candidate will use large longitudinal routinely collected healthcare datasets (comprising information from millions of patients) to develop and validate dynamic / machine learning based diagnostic prediction models for cancer. They will be supported by a multidisciplinary team with expertise in general practice, health data science and machine learning.
About You
The successful candidate will have, or will soon obtain, a PhD in a relevant discipline such as mathematics, statistics, AI/machine learning or data science or have an equivalent level of professional qualifications or experience.
About the Institute and Centre
The Wolfson Institute of Population Health (WIPH) is an exciting and dynamic environment, home to more than 450 staff, 100 PhD students and c500 postgraduate taught students. It harnesses expertise across a wide range of population-based research and education activities and aims to be an internationally recognized centre of excellence in population health, primary care and preventive medicine.
The Centre for Cancer Screening, Prevention and Early Diagnosis forms part of the WIPH and brings together globally leading researchers focusing on cancer prevention, cancer screening and detection and early diagnosis across two units. CCSPED also hosts the cross-cutting Cancer Behavioral Science group and the CRUK-funded Cancer Prevention Trials Unit.
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):