|£42,405 (pro rata) per annum, inclusive of London Allowance
|16th November 2023
|12th January 2024
About the Role
Applications are invited for a motivated and committed Senior Cardiovascular Data Engineer to perform data science on diverse biomedical, imaging and clinical research data to enable the delivery of high-quality translational and clinical research as part of National Institute for Health and Care Research Biomedical Research Centre (NIHR Barts BRC).
Applicants will work within the Barts BRC’s Precision Digital Health, Cardiovascular Devices and Trials Theme which aims to harness exponential growth in sensing technologies and data acquisition to improve healthcare delivery. Specifically, this theme aims to create cardiovascular digital twins for patients with acute coronary syndromes, valvular heart disease or resistant hypertension to improve their healthcare outcomes.
The postholder will provide high level informatics support and work with stakeholders including clinicians and research scientists to frame problem bases for diverse biomedical data (by performing quality control, data mining, linkage, wrangling and engineering to populate high quality research databases to enable subsequent integrative analysis) that can be addressed through data-driven techniques. They will design and develop research-ready data and employ data science techniques to uncover insights extracted from healthcare data. This may include exploratory data analysis, development of predictive and statistical models using machine learning and employing explainability methods.
This is a new research area which combines state-of-the-art digital and healthcare innovation, and we are seeking someone who is excited to be part of this journey.
The post requires a dedicated and motivated Senior Cardiovascular Data Engineer to help drive this exciting project forward.
Applicants must have an MSc/PhD (or equivalent qualification) in a quantitative discipline. They must have demonstrable experience in computer science/bioinformatics/statistics or a related field, relevant experience in a quantitative scientific discipline (plus the ability to translate, adapt, and apply the knowledge), and analytics/informatics experience in a field related to cardiovascular research, image or data processing, alongside experience of working with clinical/NHS datasets
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
The post is based at between Queen Mary’s Cardiovascular Devices Hub (West Smithfield Campus) and Digital Environment Research Institute in London. It is full time (35 hours per week), fixed term appointment for 1 year (with the potential to extend to 3). The starting salary will be Grade 5 starting at £42,405 per annum (pro-rata), inclusive of London Allowance.
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