Postdoctoral Research Associate: Medical Statistics in Cancer Detection

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

Job summary

A leading university in London is seeking a Postdoctoral Researcher to join the Cancer Early Diagnosis Unit. The role involves conducting research aimed at improving cancer detection, supervising junior researchers, and contributing to significant healthcare projects. Candidates must hold a PhD or equivalent in health data science or a related field, with experience in medical statistics and large dataset analysis. Competitive salaries and various benefits are offered.

Benefits

Competitive salaries

Generous pension scheme

30 days of leave per annum

Professional development opportunities

Flexible working arrangements

Qualifications

• PhD or close to completion in health data science or similar.
• Experience in medical statistics and healthcare dataset analysis.
• Ability to lead and supervise junior researchers.

Responsibilities

• Undertake cancer risk research and improve early detection models.
• Contribute to Cancer Research UK and NIHR funded projects.
• Supervise junior researchers in statistical data analysis.

Skills

Multidisciplinary teamwork

Medical statistics

Data analysis of healthcare datasets

Education

PhD in health data science or equivalent

Job description

Postdoctoral Researcher – Cancer Early Diagnosis Unit

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 gastrointestinal 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.

Qualifications and Requirements

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 Wolfson Institute of Population Health (WIPH)

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.

Centre for Cancer Screening, Prevention and Early Diagnosis (CCSPED)

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. 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 and Working Conditions

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.