About us
The post of Research Fellow in Predictive Modelling and Medical Statistics at the UCL Institute of Ophthalmology/ Moorfields Eye Hospital is funded by the Wellcome Trust as part of a research collaboration (the PINNACLE study- Deciphering AMD by Deep Phenotyping and Machine Learning) between UCL, University of Southampton, Kings College London, Imperial College London, University of Basel, Switzerland and Medical University of Vienna, Austria. This collaboration, led by Professor Sobha Sivaprasad at the UCL Institute of Ophthalmology/Moorfields Eye Hospital, aims to catalyse the field of prognosis research by bringing together leading clinical, genetic and artificial intelligence, methodological groups in prognosis research.
The Research Fellow post offers an exciting opportunity for someone to play a key role in a highly successful and dynamic research and teaching Institute, as well as benefiting from the opportunities afforded by being part of the larger financial and administrative community of the Faculty of Brain Sciences, School of Life and Medical Sciences and University College London (UCL).
About the role
Salary: UCL grade 7 (£39,508 - £47,355 per annum, including London Allowance)
Duration: from 28 August 2023 until 31 December 2024, in the first instance
Hours: part-time, 29.2hrs per week (Tuesday- Friday)
The principal purpose of this post is to carry out high quality risk prediction research in age related macular disease (AMD) using data collected prospectively from multiple countries as well as linked electronic health records, for example using large scale record linkages across primary care, hospital episodes statistics, disease and procedure registries. With an emphasis on risk prediction and stratified medicine the post holder will carry out the primary data analyses
About you
A first degree or MSc in a quantitative discipline, a PhD in relevant quantitative discipline (e.g. biostatistics / epidemiology are essential, experience in development and validation of prognostic models, risk prediction and prognostic modelling in multicentre ophthalmic studies, analysis of electronic health record data from primary care, hospital episode statistics or disease registries.
Previous experience in working with international collaborators on prognostic modelling is required. As well as carrying out research, the post-holder will be responsible for national and international methods workshops, teaching and training.
In addition, the candidate should have a strong publication record as lead or co-author in relevant area of research and be highly self-motivated and hard working.
What we offer
Working with some of the greatest intellects in the world, UCL also offers a generous pension scheme and holiday allowance, plus closure and bank holidays as well as enhanced parental pay and more. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Application Process
If you have any queries regarding the vacancy please contact Professor Sobha Sivaprasad (sobha.sivaprasad@nhs.net). If you have any queries regarding the application process please email: ioo.hr@ucl.ac.uk.
A job description and person specification can be accessed at the bottom of this page.
To apply for the vacancy please click on the 'Apply Now' button below.
Please ensure you attach your CV, highest academic qualification and list of publications. In addition, please ensure you provide a personal statement outlining how you meet the criteria to support your application.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
