Job description

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Research Associate (AI for Health) (4196)

This is a strategic role within a new joint research programme “AI in Health (AIH)”, between Manchester Metropolitan University (MMU) and the Northern Care Alliance NHS Foundation Trust (NCA).

MMU has been a pioneer in modern education since its origins in 1824. It is ranked within the top 200 young universities worldwide, with 85% of its research rated as ‘world-leading', and the University is proud to have ambitious plans for the future.

The Centre for Advanced Computational Science (CfACS, www.mmu.ac.uk/cfacs/), The Centre for Biomedical Science (CBS, www.mmu.ac.uk/bioscience) and The Centre for Musculoskeletal science and sports medicine (MSSM, www.mmu.ac.uk/mssm/) are three University Centre for Research and Knowledge Exchange (UCRKE) siting within the Faculty of Science and Engineering. 

Those UCRKE Centres have a strong track record of works closely with NHS securing research funding and have a current portfolio of funded projects from UKRI research councils, charities, the EU, and Innovate UK.

Along with the new development of the strategic partnership between MMU and NCA, we are developing an exciting multidisciplinary research programme “AI in Health” to unlock the value of healthcare data.

This new research post offers an outstanding opportunity to join the development of this thriving AIH research programme between MMU and NCA, a globally recognised hub for AI research and innovation in the central Manchester.

Role

The post holder will work on a full-time basis and to undertake the following research and project management activities:

  • Working with the project team across MMU and NCA to work on the identification of health data and define research questions that will bring benefit to clinical practice and improve the healthcare service;
  • Working on the health data across multiple health conditions (diabetes, renal disease, cardiovascular disease, brain and heart disease etc), applying existing and/or developing new approaches to identify the key factors and their inter-relationships affecting he progression of health conditions and the effectiveness of the treatment and healthcare pathway; to gain insights into the multi-morbidity trajectories from the longitudinal health data that support the clinical decision making in diagnosis and treatment.
  • To assist the development of an AI as a Service (AaaS) platform to enable an interactive AI to enhance the interaction between AI systems and clinicians and/or healthcare performance management.

The post holder will take responsibility for delivering high quality research and development of new algorithms and systems for processing and analysing large scale health datasets, with the project team, and partners as required.

Ideal Candidate

We are looking to appoint a highly able, enthusiastic and motivated individual who wish to work in a collaborative environment on the research and development of AI for Helath (AIH) that enable healthcare professions apply the AI approaches and models for decision-making and provide feedback to the system to enhance the AI models to further improve the performance.

Candidates must have experience of health data analytics, and developing data analytics algorithms including machine learning. Candidates must have good knowledge of AI systems/tools, and the associated strengths and limitations. The candidates will also need to possess skills for software development including R and Python, and a motivation for student project supervision.

Qualifications:

  • PhD with strong research experience in health data analytics.

Knowledge and Skills:

  • Proven track record in applying AI for health data analytics
  • Experience of working on longitudinal health data, and other health data analytics
  • Knowledge and skills of software development on cloud-based platform
  • Good skills for communication, project management and coordination in an interdisciplinary team

(please refer to Job Specification for more detail).

For an informal discussion regarding the requirements of the role please contact Professor Yonghong Peng (Y.Peng@mmu.ac.uk), Professor of Artificial Intelligence and the Director of Centre for Advanced Computational Science.


 
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Location
Manchester All Saints Campus
Oxford Road, Manchester, UK, M15 6BH
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  • Location:
    Manchester All Saints Campus
  • Faculty / Function:
    Science and Engineering
  • Salary:
    Grade 7 (£31,406 to £35,326)
  • Closing Date:
    5 December 2021
  • Contract Type:
    fixed term
  • Contracted Hours per week:
    35
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