Summary of Post We have a full-time Post-Doctoral position available in the School of Population Health, suitable for an epidemiologist, health policy researcher, or health data scientist with excellent analytical skills.
The candidate will work on a new project funded by the Health Research Board Secondary Data Analyis Projects (SDAP) programme; 'Assessing Status and Trends in Diabetes Care in Ireland and the Early Impact of Health Care Reform'.
This research programme aims to examine the levels and trends of diabetes preventive care practices, risk factors, and preventable hospitalizations in Ireland among adults with T2DM, and how these outcomes have been affected by implementation of the national Sláintecare Chronic Disease Management (CDM) Progamme.
The candidate will work with a multi-disciplinary consortium of experts to conduct a series of observational epidemiologic analyses and natural experimental studies using primary care-based electronic medical record data and data on hospital admission in Ireland.
The candidate will be lead in the development of study design and analyses to compare the levels of care, risk factor control, and outcomes according to access and eligibility to the Sláintecare CDM programme.
The position will involve working in the School of Population Health and Department of General Practice in RCSI, and with Centric Health.
Centric Health primary care practice data group presents a unique opportunity to develop a state-of-the-art population-based analytic data system that serves multiple needs of decision support, population monitoring, and comparative effectiveness research.
The programme is designed to help policy-makers to prioritise issues and populations at risk of inadequate diabetes care, assess the impact and modify the national diabetes prevention and care guidelines, and inform the architecture and metrics of the national diabetes registry.
Specifically, the duties of the post are: • Conceptualise and design new studies and investigations of the risk factors, trends and effective interventions for chronic diseases • Assemble, collect or seek data access approval, including relevant ethical approval for the assembly of data sets for epidemiologic studies and natural experiments for chronic diseases • Analyse epidemiologic, health systems and implementation data to identify modifiable and non-modifiable risk factors and effective interventions for prevention and control of chronic conditions • Design and undertake appropriate data analyses using advanced approaches to reduce bias with quasi-experimental studies.
• Supervision of doctoral/postgraduate students • Advanced skills in using R or Python • Prepare and implement a data management plan ensuring a secure data environment • Co-ordinate own day-to-day work to support ongoing projects • Develop final report with recommendations • Contribute to dissemination of research findings including conference presentations, peer-reviewed articles, social media content, and policy briefs • Lead, co-author and prepare papers for peer-reviewed publications, reports/policy briefs and presentations to stakeholders • Work with the principal investigator, members of the research team, colleagues and other stakeholders to ensure project deliverables are achieved • Assist with funding applications that might be considered for related projects Qualifications – (Essential): • PhD in Data Science, Biostatistics, Applied Mathematics, Health Services Research, Public Health, Population Health sciences, Epidemiology, or related discipline Knowledge