Research Associate, Machine Learning for Healthcare and Medicine
- Employer
- THE ALAN TURING INSTITUTE
- Location
- London
- Salary
- £44,180 - £49,966
- Closing date
- 15 Sep 2024
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- Academic Discipline
- Clinical, Pre-clinical & Health
- Job Type
- Academic Posts, Postdocs
- Contract Type
- Fixed Term
- Hours
- Full Time
The Alan Turing Institute
Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here
BACKGROUND
Currently, Turing is undergoing a restructuring, moving towards a challenge-led model with three Grand Challenges (Health, Environment & Sustainability, Defence & National Security), underpinned by cross-cutting Fundamental Research. This new Turing 2.0 model focuses on world-class science and innovation and aims to generate high-quality research and translate it into real-world impact and deployment.
The Health Grand Challenge aims to become a transformative agent for the NHS and global healthcare through advanced AI solutions. Our vision is to harness the untapped innovation potential within the UK, driving significant healthcare impact and positioning the UK as a global leader in AI and healthcare integration. The Grand Challenge is structured into three themes: Knowledge, Action, and Impact (KAI), each focusing on critical areas where AI can revolutionise healthcare.
We are seeking highly skilled Research Associates with backgrounds in machine learning, AI, statistics, control engineering, natural language processing, and medical image understanding to join us in this pioneering endeavour.
DUTIES AND AREAS OF RESPONSIBILITY
- Publish and disseminate high-quality research papers and publications detailing research outputs and project case-studies.
- Cultivate strong relationships with internal stakeholders, liaising with teams across the Turing as required.
- Communicate or present research outputs to diverse stakeholders, through conferences, events, meetings, and press opportunities as appropriate.
- Participate in internal meetings with relevant groups, stakeholders, as well as external meetings with representatives of industry and potential partner organisations.
- Work collaboratively with academic experts and broader research partners from across the Turing and the wider Turing community.
- Undertake required administration tasks. Contribute to the life of the Institute and support a diverse and inclusive community through embracing the Turing values.
- Adhere to and promote principles of reproducible and ethical data science and ensure secure handling of data and health and safety in all aspects of work.
PERSON SPECIFICATION
- A PhD (or equivalent experience and/or qualifications) in a relevant area which will include Computer Science, AI, Machine Learning, Statistics or similar inter-disciplinary subjects (if close to PhD completion,
- Research Assistant level will be considered). Proven research experience in machine learning and AI Expertise in natural language processing and medical image understanding Knowledge of reinforcement learning and causal statistics
Please see our portal for a full breakdown of the Job Description.
TERMS AND CONDITIONS This post is offered on a full time, fixed-term basis for 3 years. The annual salary is £44,180 - £49,966 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits. Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £41,352 per annum.
APPLICATION PROCEDURE
Please see our jobs portal for full details on how to apply and the interview process.
EQUALITY DIVERSITY AND INCLUSION
We are committed to making sure our recruitment process is accessible and inclusive.
This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at adjustments@turing.ac.uk to find out how we can assist you.
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