Wolfson Institute Of Population Health

Queen Mary Innovation Ltd; City of London; On-site; GBP 35,000 - 45,000; Full time

Job summary

A leading university in the UK is seeking a Postdoctoral Research Associate to undertake research focused on cancer early detection. The successful candidate will lead projects on cancer risk and supervise junior researchers while working in a multidisciplinary team. This role offers competitive benefits and opportunities for career development in a dynamic research environment.

Benefits

Competitive salaries

Generous pension scheme

30 days’ leave per annum

Flexible working arrangements

Qualifications

• Must have a PhD (or close to completion) in relevant field.
• Essential experience in medical statistics and large healthcare datasets.
• Experience working in multidisciplinary teams.

Responsibilities

• Conduct research on cancer detection and risk models.
• Supervise junior researchers in statistical analysis.
• Support grant and fellowship applications.

Skills

Experience in medical statistics

Analysis of large healthcare datasets

Ability to work in multidisciplinary teams

PhD or equivalent in relevant field

Education

PhD in health data science or similar field

Job description

Postdoctoral Research Associate: Medical Statistics in Cancer Detection

Garth Funston - Clinical Senior Lecturer. [e-mail]

About the Role

We are seeking a Postdoctoral Researcher to join the Cancer Early Diagnosis Unit where they will undertake research focussed on improving understanding of cancer risk and developing novel models and tools to improve cancer early detection. They will contribute to Cancer Research UK and NIHR funded projects, including studies using large healthcare datasets, such as CPRD, focussed on improving prostate cancer, lung cancer and upper gastro-intestinal cancer detection. In addition to leading their own project, the successful candidate will supervise more junior researchers in the statistical analysis of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, risk prediction, AI and clinical practice. They will also be supported to develop their career and build grant or fellowship applications.

About You

Candidates must have a PhD (or close to completion) or research qualification/experience equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams, in medical statistics and in the analysis of large healthcare datasets (such as CPRD, QResearch, NCRAS or HES) is essential for this role.

About the School/Department/Institute/Project

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 recognised centre of excellence in population health, primary care and preventive medicine. The Institute is organised into six separate research centres which, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements.

The Centre for Cancer Screening, Prevention and Early Diagnosis (CCSPED) forms part of the WIPH and brings together globally leading researchers focusing on cancer prevention, cancer screening and detection and early diagnosis across three units, including the CRUK-funded Cancer Prevention Trials Unit (CPTU, Director - Sasieni). CCSPED also hosts the cross-cutting Cancer Behavioural Science group.

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.

Queen Mary University of London
Mile End Road
London E1 4NS
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