"Clinical Research Fellow"

About the role:

Imperial College London is seeking a highly motivated Clinical Research Fellow to contribute to the Imperial Computational EEG (ICE) project – an ambitious research programme at Imperial College London and Imperial College Healthcare NHS Trust (ICHT).

The project aims to transform the clinical use of electroencephalography (EEG) by developing and validating machine learning approaches for automated interpretation of clinical EEG recordings. The focus is on improving the detection and grading of encephalopathy linked to delirium and detection of seizure activity in hospitalised patients.

You will work in the group of academic neurologist and computer scientist Dr Gregory Scott, with collaborators having expertise in neuroscience, neurology, neurophysiology, signal processing, and machine learning.

As a Clinical Research Fellow, you will be medically qualified with a full GMC registration.

What you would be doing:

You will be central to the development of a novel large-scale (i.e., 1,000 s of patients) EEG-clinical dataset. You will carry out pseudonymisation, curation, and secure transfer of routinely collected clinical data from ICHT, in the form of EEG recordings and allied clinical data retrieved from the electronic health records (EHR) system. There is an emphasis on data entry, parsing, curation, transfer, and research governance. The focus is the creation of a large, structured, and well-curated dataset with a focus on high-quality allied clinical data.

You will be expected to collaborate closely with researchers and clinicians across Imperial College London and ICHT. You will also actively participate in the research group.

What we are looking for:

• Medically qualified (MBBS or equivalent) and full GMC registration
• Experience of working with hospitalised patients and healthcare professionals
• Experience with electronic health records (EHR) systems
• Experience of clinical data entry and quality control
• Good knowledge of human research ethical principles and methods including Good Clinical Practice
• Excellent attention to detail and ability to navigate, parse, and curate large volumes of heterogenous clinical data
• Willingness to work as part of a team, to be open-minded and cooperative
• Ability to organise your own work with minimal supervision
• A creative approach to problem-solving; a “doer”

What we can offer you:

• An exciting opportunity to contribute to research with real-world clinical impact
• Opportunities, supervision, and guidance to develop your skills and experience in neurology, neurophysiology, neuroscience, and data science, to build your research output, and to apply for further research opportunities
• Be part of the Care Research & Technology Centre, part of the UK Dementia Research Institute
• Join a world-leading institution
• Progress your clinical academic career with support from academic neurologist Dr Scott, in a department with an excellent track record of supporting clinical academics, in an institution with dedicated support for clinical fellows.

Further information:

This is a full-time, fixed-term post for up to one year.

You will be based at the White City Campus but you will be expected to travel to ICHT sites, mainly Charing Cross Hospital.

Should you require any further details on the role please contact: Dr Gregory Scott gregory.scott99@imperial.ac.uk

As this post is exempt from the Rehabilitation of Offenders Act 1974, a satisfactory Disclosure and Barring Service (DBS) check, at the appropriate level, will be required for the successful candidate.