
Department of Metabolism and Systems Science, School of Medical Sciences, College of Medicine and Health
Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822. As this vacancy has limited funding the maximum salary that can be offered is Grade 7, salary £42,254.
Grade: 7
Full Time, Fixed Term contract up to February 2029
Closing date: 18th November 2026
The post-holder will contribute to research within the HT-Advance programme, a Horizon 2020-funded project investigating the application of omics-based strategies to improve the diagnosis and treatment of endocrine hypertension.
The focus of this post within the project will be the application of mass spectrometry to analyse urinary steroid profiles.
The wider programme integrates genetics, genomics, metabolomics and clinical phenotyping to investigate endocrine forms of hypertension, including primary aldosteronism, pheochromocytoma and functional paraganglioma, and Cushing's syndrome. The research aims to identify molecular and metabolic profiles associated with these conditions and evaluate their potential application in patient stratification, diagnosis and treatment.
The post-holder will contribute to the delivery of the research programme through the application of specialist analytical and research methods, analysis and interpretation of complex research data, development and optimisation of research methodologies, dissemination of findings and collaboration with researchers and clinical partners.
The post-holder will undertake research within established research programmes, applying specialist expertise in mass spectrometry to generate, analyse and interpret urinary steroid profiles relevant to endocrine disease.
The role will include:
Further particulars can be found here
Informal enquiries to Dr Angela Taylor, email: a.taylor.5@bham.ac.uk
Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview.
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