This exciting position will allow the successful candidate to work on the Marie Curie Commissioned Research Project project ?Hospital and ambulance service use by people in the final year of life?. The successful candidate will be based within the QUB Cancer Epidemiology Group in the Centre for Public Health and will work collaboratively with partners in the Marie Curie charity and the Northern Ireland Ambulance Service (NIAS). The specific objective of this post is to better understand the use of the ambulance, Accident & Emergency (A&E), and inpatient hospital stay services by patients in their last year of life. The findings will contribute to the development of wider research ideas aimed at providing an evidence base for improvements to home-based palliative care, often the preferred setting for patients.
The main objectives of the project are to: (1) estimate the volume, timing, type, outcomes, and proportion of ambulance calls for end-of-life (EOL) patients (2022?2024) using NIAS data; (2) estimate A&E and hospital use by EOL patients (2014?2023) using data provided and accessed through the Honest Broker Service (HBS, situated in the Business Services Organisation, BSO) which is a Trusted Research Environment for Health and Social Care (HSC) Northern Ireland; (3) calculate hospital bed days and inpatient costs in the last year of life. The position will contribute to a programme of work aimed at delivering on these objectives.
Qualifications- A relevant primary degree (1st or 2:1 classification) related to the duties of the position such as epidemiology, social sciences, applied statistics, data science or public health-related area such as pharmacy or psychology, or
Optional or desirable qualifications for the job:
- Master?s degree in epidemiology, social sciences, applied statistics, data science or public health-related area, or
- About to complete a PhD (expected submission within 3 months of advert) in epidemiology, social sciences, applied statistics, data science or public health-related area
Skills- Specific, relevant experience of research methods in biostatistics/epidemiology
- Experience in advanced statistical techniques, e.g. multivariable statistical analyses / Cox proportional hazards etc.
- Knowledge and experience of relevant methodological approaches to analysis of large population-based datasets
- Experience of using statistical packages such as STATA, SAS or R
- Demonstrable proficiency in academic paper writing
You can also use your social account to sign in. First you need to:
Accept Terms & Conditions and Privacy Policy.