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Senior Health Data Analyst

Queen Mary University of London - FMD / Blizard Institute / Barts Liver Centre & Metabolism Network

Location: London
Salary: £42,405 to £45,932 per annum, inclusive of London Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 19th January 2024
Closes: 29th February 2024
Job Ref: 677
 

About the role
Applications are invited for a motivated and committed Senior Data Health Analyst to combine the primary care records from Major European cohorts in order to answer key questions about the epidemiology and natural history of metabolic-dysfunction associated steatotic liver disease.

Applicants will work within the Blizard Institutes, Centre of Immunobiology which combines cutting-edge research with top quality education in all areas of immunobiology. The Centres research investigates the major mechanisms by which the immune system functions, with the ultimate aim of easing the burden of major immune-related public health issues.

The postholder will provide high level informatics support to investigate risk factors associated with the clinical progression of metabolic-dysfunction associated steatotic liver disease with liver, renal and cardiovascular outcomes; including type 2 diabetes and its control. They will develop and maintain the core data infrastructure of the project which will include quality control, data mining, derivation of phenotype codes and engineering to combine high quality research databases to enable the subsequent integrative analysis. They will conduct advanced statistical and epidemiological modelling with the use of artificial intelligence to conduct meta-analysis across the databases and uncover insights extracted from the data.

About You
This post requires a dedicated and motivated Senior Health Data Analyst to help drive this exciting project forward.

Applicants must have a BSc or equivalent in a relevant discipline and additional qualifications in statistics, epidemiology or similar. They should have demonstratable experience in computer science/bioinformatics/statistics or a related field, relevant experience in a quantitative scientific discipline and analytics/informatics experience in a related field.   

About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers

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.

Benefits
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.

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