Wolfson Institute Of Population Health

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

Job summary

A leading university in London seeks a Postdoctoral Research Associate in Health Data Science. The role involves researching cancer risks and health utilization while working with large healthcare datasets. Candidates should hold a PhD or be close to completion, with essential experience in medical statistics and team collaboration. This position offers competitive salary, 30 days leave, and flexibility in working arrangements.

Benefits

Competitive salaries and pension scheme

30 days leave per annum

Flexible working arrangements

Personal and professional development opportunities

Qualifications

• PhD or close to completion in health data science or similar field.
• Experience in statistical analysis of large healthcare datasets.
• Ability to work within multidisciplinary teams.

Responsibilities

• Undertake research on cancer risk and health utilization.
• Contribute to a project using large healthcare datasets.
• Support junior researchers in statistical analysis.

Skills

Health data science

Medical statistics

Analysis of large healthcare datasets

Team collaboration

Education

PhD or equivalent in a relevant field

Job description

Postdoctoral Research Associate in Health Data Science

Suzanne Scott - Professor of Health Psychology & Early Cancer Diagnosis. [e-mail]

About the Role

We are seeking a Postdoctoral Researcher to join our thriving Cancer Early Diagnosis Unit to undertake research focussed on understanding the future risk of cancer and health utilisation following urgent suspected cancer referral. They will contribute to a Bowel Cancer UK funded project, using large healthcare datasets, such as CPRD, to help inform initiatives aimed at prevention and early diagnosis of bowel cancer. The successful candidate may supervise more junior researchers in the statistical analysis or preparation of data. They will be supported by a multidisciplinary internationally renowned team with diverse expertise including in health data science, epidemiology, behavioural science, risk prediction, 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 or equivalent quantitative discipline, 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. 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

• Competitive salaries and a generous pension scheme.
• 30 days’ leave per annum (pro-rata for part-time/fixed-term).
• Season ticket loan scheme and access to personal and professional development opportunities.
• Flexible working arrangements and inclusive employment policies.
• Campus facilities and family-friendly policies.

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
[phone]