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of python and R is essential. This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027. About You To be successful in this role, we are looking for candidates
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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analysis, data modelling, and scripting using R and/or Python. Solid understanding of computational biology and biological data standards. Ability to develop and implement custom tools and workflows
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field Experience in teaching or training within higher education or research settings Proficiency in bioinformatics tools and methods, including scripting in R and/or Python Familiarity with omics data
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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. R, Stata, Python, or similar). Skilled in writing and/or contributing to high-quality manuscripts for submission to peer-reviewed journals. Demonstrated ability to independently manage research tasks
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advanced statistical methods and software (e.g., R, SPSS, Stata) for analysing intervention outcomes Academic standing: Outstanding publication track record in evidence synthesis of studies evaluating
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be decided. Grade and Salary: £53,149 - £62,422 per annum, including London Weighting Allowance Job ID: 118906 Close Date: 28-Jul-2025 Contact Person: Prof Maria R (S) Conte Contact Details: sasi.conte
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advanced data-analytical and econometric training, experience of handling large datasets and of execution and write-up of independent research projects. Experience of Stata, R or Python is essential
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) * Experience in quantitative data analysis, including routine data, management of large datasets, and use of statistical software (such as Stata, R or equivalent) Excellent written and oral communication skills