Senior Research Advisor AI Methods within NHS Accelerated Access
The Alan Turing Institute
State University (United Kingdom), Browse similar opportunities
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State University (United Kingdom), Browse similar opportunities
The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. The Institute is named in honour of the scientist Alan Turing and its mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.
We are seeking a highly-experienced expert in one or more of the following areas: clinical trials study design, diagnostic tools evaluation and artificial intelligence, to develop novel methodologies and studies to assess the safety and efficacy of Mammography Intelligent Assessment (Mia), a novel AI breast screening solution, developed by Kheiron Medical on over 3 million images from different mammography modalities and different ethnic backgrounds.
Mia has recently been tested in a large-scale clinical trial in the UK and Europe with 283,000 cases (unseen and unenriched sample size). We are seeking to support the part-time secondment (approximately 0.2 FTE) of the expert to the Alan Turing Institute and the recruitment of a postdoctoral research fellow to support the expert in their work. An open call for this role will be published once this role is filled.
The successful candidate will join the partnership’s leadership team and should be able to demonstrate prior evidence of experience engaging and successfully leading complex multi-stakeholder, cross-sector collaborative initiatives.
As part of the AI award, Kheiron will be conducting a series of studies, including large-scale retrospective trials, reader studies, prospective trials, and post-market surveillance This is amongst a series of recently commissioned large-scale studies of their AI deployed in a real-world national health system environment supported by the NHS. The project will also provide a framework to establish which combination of studies works best to evaluate the AI.
The role holder will get the opportunity undertake frontier research and produce publications in the novel design of evaluation studies for AI models in real-world health systems; as well as, be part of the frontier national work involving NHS, Alan Turing Institute, NICE, PHE, AAC and NHS X teams on how to safely and effectively integrate new, cutting edge AI technology, and establish the UK as a leading global exemplar for large scale deployment of AI solutions.
The research team will benefit from the support of a Turing Research Project Manager from within its strategic Health and Medical Sciences Programme.
Example Research Questions
The project will address a number of emerging questions in the development of AI solutions for clinical application. These could include and not exclusively:
The postholder will have the opportunity to shape their own research programme to address these types of issues within the context of the Kheiron-Turing collaboration. They will be supported by at least one full-time postdoctoral researcher to support the expert in their work. This role will report to the Programme Director for Health and Medical Sciences.
BACKGROUND
The Turing Health and Medical Science Programme has long-term interests in research study design and evaluation methodology for AI-driven healthcare solutions. It is seeking contribute to the development of standards for how to evaluate AI in clinical studies within the NHS and internationally. Following an recent NHS AI Award to Kheiron Medical Technologies, a specific novel opportunity has arisen for a two-year research programme that will specifically focus on optimising such standards for the breast cancer screening domain as part of a new Kheiron-Turing collaboration.
Further information about the award:
Four phases of award are available to support AI solutions from initial feasibility to evaluation within NHS and social care settings. The award is a competitive process run by the Accelerated Access Collaborative (AAC) as part of the NHS AI Lab, in partnership with NHSX and the National Institute for Health Research (NIHR). Phase 4 is intended to identify AI technologies that need more evidence to merit large-scale commissioning or deployment. The AAC will work with NHS sites to support their adoption of these technologies, and stress test and evaluate them within routine clinical or operational pathways to determine their efficacy and accuracy, and clinical and economic impact.
DUTIES AND AREAS OF RESPONSIBILITY
ESSENTIAL:
DESIRABLE:
APPLICATION PROCEDURE
If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV, covering letter and contact details for your referees. If you have questions about the role or would like to apply using a different format, please contact them on 020 3862 3575, or email recruitment@turing.ac.uk.
CLOSING DATE FOR APPLICATIONS: 10 February 2021
TERMS AND CONDITIONS
This part-time post (0.2 FTE) is offered on a fixed-term basis for two years. The full-time annual salary is £56,000-£60,000, pro-rata to part-time hours, plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits
EQUALITY, DIVERSITY AND INCLUSION
The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.
Reasonable adjustments to the interview process will be made for any candidates with a disability.
Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.
Full details on the pre-employment screening process can be requested from HR@turing.ac.uk.
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