About the role
This post offers an excellent career development opportunity for a Researcher with significant experience in quantitative analysis, epidemiology, and health data science, and an interest in conducting research to inform practice for children and young people with or at risk of blinding disorders. The post is based within the Population Policy and Practice Programme (PPP) at the UCL Great Ormond Street Institute of Child Health (UCLGOSICH) and is funded until January 2030. The post-holder will be joining the CHOIR (Childhood Ocular Inflammation Research, https://www.ucl.ac.uk/population-health-sciences/choir-lab) team. The CHOIR team conduct Wellcome Trust funded projects which share the primary aim of leveraging routinely collected clinical data, administrative datasets, patient generated data and imaging to improve our understanding of childhood onset blinding disorders and associated multi-system disease. The research fellow will lead on electronic health record (EHR) data extraction and transformation, and develop linked clinical, education and administrative datasets. They will also support the development of a national disease registry, and the development of common data models for childhood onset blinding eye disorders. This role will include general research support duties, such as research governance, communications, data management, and scientific dissemination. They will be expected to work independently and as part of a team, in a timely manner. Training will be provided to support personal development. The post will require the post-holder to be on site for a minimum of two days a week. The post holder will report to the study CI and line manager (Dr Ameenat Lola Solebo, https://profiles.ucl.ac.uk/5172-lola-solebo). Lola is a Wellcome funded Clinician Scientist within PPP, and a Consultant Paediatric Ophthalmic surgeon at Great Ormond Street Hospital. Her work investigates the determinants of outco me for children with eye disease, and how best to translate these findings into changes in practice and policy. The salary offered in this role is either at grade 7 (£45,103 – £52,586 per annum) or grade 8 (£54,931 – £59,571 per annum) and is funded until 31/08/2029 in the first instance.
About you
The post holder will • Be committed to excellence in research culture: equity, diversity and inclusion, and open science • Be committed to patient-centred research Hold a PhD in epidemiology, health informatics, medical statistics, or a related discipline • Have experience with large-scale health datasets, including EHRs, administrative data and registry data • Be proficient in use of database management and statistical analysis software (e.g. STATA and R) • Have experience with data governance, ethics and information security protocols in the UK • Have experience working with the OMOP Common Data Model or SNOMED-CT terminology • Be able to conduct high quality research in eye or child health related subject • Have excellent administrative skills, and the ability to organise and prioritise workload • Have excellent interpersonal, oral and written communication skills • Be able to work independently and as part o f a team to agreed deadlines Applicants will need to submit a cover letter
Customer advert reference: B02-10706
Location: Stirling Campus Contract type: Fixed term contract until 31st August 2029 Salary: Grade 7: £38,784 – £46,049 per annum...
Apply For This JobPassionate about renewable energy and engineering? Want to tackle sustainable hydrogen challenges? The University of Sheffield’s Leonardo Centre, a global...
Apply For This JobDescription of Post The post relates primarily to the teaching on the MSc and BSc in Clinical Measurement Physiology programmes...
Apply For This JobCould incretin receptor agonists – drugs already transforming the treatment of obesity and diabetes – hold the key to repairing...
Apply For This JobThe Department of Land Economy and Newnham College wish to appoint an Isaac Newton Trust Academic Career Development Fellow in...
Apply For This JobContractual hours: 24.5 Job category/type: Academic and Research Job description Part-time (0.7 FTE) By reference to the applicable SOC code...
Apply For This JobWe use cookies to improve your experience on our site. By using our site, you consent to cookies.
Manage your cookie preferences below:
Essential cookies enable basic functions and are necessary for the proper function of the website.
These cookies are needed for adding comments on this website.
Google reCAPTCHA helps protect websites from spam and abuse by verifying user interactions through challenges.
These cookies are used for managing login functionality on this website.
Statistics cookies collect information anonymously. This information helps us understand how visitors use our website.
Google Analytics is a powerful tool that tracks and analyzes website traffic for informed marketing decisions.
Service URL: policies.google.com (opens in a new window)
You can find more information in our Cookie Policy and Privacy Policy.
