Data Scientist in the Coronary Research Group
Department: SCMMS Southbank
About Us
The School of Cardiovascular and Metabolic Medicine & Sciences (Head, Professor Mauro Giacca) provides an outstanding multi-disciplinary environment for the pursuit of cutting-edge cardiovascular and metabolic research. Our current research spans the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. The School occupies facilities across the Guy’s, St Thomas’ and Denmark Hill campuses of King’s College London and comprises over 70 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Clinical and pre-clinical researchers at King’s have access to state-of-the-art core facilities and expertise, including multimodality in vivo imaging, clinical research facilities, experimental medicine hub, high-throughput robotic screening, comprehensive genomics/proteomics/metabolomics/single cell analyses, integrative invasive and non-invasive human physiology, and comprehensive murine physiology and genetic modification. There is an innovative clinical informatics platform integrated with large language models for the analyses of electronic health records across the King’s Health Partner NHS Trusts. Assisted by the close collaboration between clinical and academic colleagues and the outstanding infrastructure, all the building blocks are in place for the generation of novel advances with major clinical impact. The School hosts a range of training programmes including three PhD programmes in cardiovascular sciences and advanced therapies, an MSc in Cardiovascular Sciences and an iBSc in Cardiovascular Medicine. Multiple other doctoral training programmes are available across the Faculty.
About the Role
The postholder will contribute to the development of our portfolio of clinical and health informatics platforms and research which sits within the King’s BHF Centre of Research Excellence (https://www.kcl.ac.uk/scms/bhf-centre) and specifically work within the Coronary Research Group at KCL.
The Coronary Research Group carries out translational research into the mechanisms and consequences of cardiac ischaemia with a view to developing and evaluating novel and personalised treatments for ischaemic heart disease. The group employs diverse research methodologies to achieve these aims, from exploration of the pathophysiological basis of disease states by detailed characterisation of patients during diagnostic and therapeutic procedures through designing and conducting multicentre randomised clinical trials to applying machine learning and Artificial Intelligence techniques to data extracted from routine health records. The work will also include areas relevant to the BHF Centre Themes including heart failure, obesity, and metabolic diseases with the scope of extending the timeframe of the contract based on the receipt of renewed funding. The Group’s research is funded by peer-reviewed grants from charities (including the Academy of Medical Sciences, British Heart Foundation, and Medical Research Council) and public funding (UK National Institute for Health Research and US National Institute for Health) as well as investigator-initiated commercial funding.
The role will build clinical NLP and phenotyping using electronic health records, putting these tools in the hands of clinical users. As such, this tool is a foundational piece of work to enable a multitude of subsequent projects and grant applications which use this software to identify a cohort of patients from the EHR.
This is a 50% FTE post (17.5 hours per week), and you will be offered a fixed term contract for 8 months.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
- PhD or equivalent experience in a relevant area
- Knowledge or interest in Natural language processing ideally over big biomedical data
- Software development experiences in large-scale academic projects and/or industry environment
- Data management in large scale and heterogeneous data spaces
- Clinical Informatics
- Biomedical ontologies / Semantic Web technologies
- Information retrieval, data analytics and/or text mining on Electronic Health Records and biomedical literature
- Knowledge of machine learning / deep learning with an interest in the application to electronic patient records
- Understanding or interest in graph data models / Knowledge graph techniques
- Some statistical skills
Further Information
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
Interviews are due to be held in April-May.
Grade and Salary: £44,355 - £49,128 pro rata per annum, including London Weighting Allowance. Job ID: 113107
Post Date: 14-Apr-2025 Close Date: 28-Apr-2025
Contact Person: Haseeb Rahman Contact Details:
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