Research Associate in Machine Learning for Healthcare

Job summary

We are seeking two Research Associates to join a dedicated cross-disciplinary team building innovative technologies to support people affected by chronic (long-term) conditions. This position is based in the Department of Brain Sciences and the UK DRI Care Research and Technology centre at Imperial College London. The postholders will join the EPSRC/NIHR PROTECT project team focusing on developing digital biomarkers and predictive models to...

Job listing information

  • Reference MED03238
  • Date posted 7 September 2022
  • Closing date 5 October 2022

Job description

Job summary

We are seeking two Research Associates to join a dedicated cross-disciplinary team building innovative technologies to support people affected by chronic (long-term) conditions. This position is based in the Department of Brain Sciences and the UK DRI Care Research and Technology centre at Imperial College London.

The postholders will join the EPSRC/NIHR PROTECT project team focusing on developing digital biomarkers and predictive models to support and improve managing long-term health conditions. The roles will be for 3 years, starting from September 2022 or soon after.

This is a unique opportunity to contribute to a project that is both highly technical and positive in impact, working alongside dedicated developers, clinical researchers, data scientists, healthcare professionals and designers.

We have curated one of the world's largest datasets of remote in-home healthcare monitoring, which consists of activity, sleep, and physiology monitoring together with clinically validated assessments, medical background data, and clinical validation of health-related events. We also have access to the Secure Anonymised Information Linkage (SAIL) Databank from the Welsh population (over 4.4 million case records) and the Whole Systems Integrated Care (WSIC) dataset which provides over 2million individuals' EHR data linking hospital, primary care, and social care records.

Duties and responsibilities


  • To take initiatives in the planning of research

  • To conduct exploratory data analysis

  • To maintain accurate and complete records of all findings

  • To write reports for submission to research sponsors

  • To present findings to colleagues and at conferences

  • To submit publications to refereed journals

  • To provide guidance to staff and students

  • Play a central role in developing machine learning work within the Department of Brain Sciences and the UK DRI Care Research and Technology Centre

  • Have an influential role in the planning, implementation, and deployment of our machine learning systems, which are being rolled out in a growing number of healthcare setting

  • Work will involve fundamental machine learning research to process large volumes of high-velocity multivariate data obtained from remote health and activity monitoring technologies

  • The post will suit a highly motivated candidate who is interested in addressing real-world challenges and creating end-to-end solutions. 

Essential requirements


  • Hold a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Physics, Mathematics or a equivalent practical experience

  • Experience in using modern machine learning tools and libraries

  • Excellent programming skills in Python or MATLAB, or similar tools for data analysis

  • Practical experience within a research environment and publication in relevant and refereed journals

  • Experience in time-series data analysis

Further information

This is a Full Time and Fixed Term role for 3 years based at the White City Campus.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range of £36,694 - £39,888 per annum.

For further information regarding the role, please contact Professor Payam Barnaghi (p.barnaghi@imperial.ac.uk).

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. Find out more about animal research at Imperial.

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About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework. Our values are: 

  • Respect              
  • Collaboration
  • Excellence          
  • Integrity
  • Innovation

In addition to the above, employees are required to observe and comply with all College policies and regulations.

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

For technical issues when applying online please email support.jobs@imperial.ac.uk.