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Senior Research Associate, Health Grand Challenge - Machine Learning for Healthcare and Medicine

The Alan Turing Institute

Location: London
Salary: £55,184 to £63,971 plus excellent benefits
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 19th August 2024
Closes: 15th September 2024
 

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. These themes have the following initial incarnations:

We are seeking highly skilled Senior 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

  • Provide technical project management and leadership for research projects, ensuring successful outcomes
  • Liaise with clients and colleagues to understand and prioritise project goals, and balance client value with research outputs
  • Define the research direction in collaboration with Principal Investigators (PIs).
  • Be a point of contact, supporting PIs in engaging with stakeholders regarding projects and deputising in meetings where necessary.
  • Take the lead on writing up findings as they emerge, producing and developing reports, and developing publications in peer reviewed journals, in collaboration with the research team.
  • Lead on the preparation of proposals and applications to external bodies
  • Present, disseminate and explain our work at meetings/events and contribute to both the internal and external visibility of the Institute.
  • Take responsibility for driving collaboration with academic experts and broader research partners from across the Turing.
  • Supervise the work of junior members of the team and provide guidance as required
  • Line manage direct reports if required.

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.
  • 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 the job description for a full breakdown of the role and person specification.

Terms and Conditions

This post is offered on a full time, fixed-term basis for 3 years. The annual salary is £55,184 - £63,971 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits.

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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