Researcher / Biomedical Data Scientist

About the Role

We are looking for a self-motivated, innovative biomedical data scientist to join our dynamic collaboration with BenevolentAI, to better understand the molecular basis of immune mediated inflammatory diseases (IMIDS). You will be working in the Centre for Translational Bioinformatics (C4TB), a diverse and inclusive multidisciplinary team of computational biologists, software engineers, and data scientists, jointly located within the Digital Environment Research Institute (https://www.qmul.ac.uk/deri/) and the William Harvey Research Institute (http://www.whri.qmul.ac.uk/) at Queen Mary University of London. The Centre applies cutting edge computational pipelines, and data science tools including machine learning and artificial intelligence to biomedical data, including electronic health records, imaging, genetic, genomic and chemogenomic data. Our team partners with a national network of researchers, clinician researchers and industry to translate biomedical data into the clinic. Our team thrives at the interface between industry and academia in a matrix of collaborations, including Health Data Research UK, the Alan Turing Institute and diverse research consortia funded by the MRC, NIHR, Innovate-UK and the Innovative Medicines Initiative.

About You

We are seeking an experienced biomedical data scientist / computational biologist to join our team at QMUL working closely with the BenevolentAI team, and the MRC IMID-Bio-UK team at the University of Glasgow (https://www.gla.ac.uk/research/az/imid/). The aim of the project is to identify common disease mechanisms and therapeutic interventions for IMIDs using AI and machine learning applied to a range of multi-omic datasets. To succeed in this role you will need excellent data science skills, including data wrangling skills in command line environments, demonstrated expertise in one or more programming languages, e.g. Python, Java or R/shiny R. Biomedical experience, particularly genomic data analysis experience is desirable although not essential, we actively encourage multi-disciplinarity in our team and would welcome applications from data scientists in other fields. You will have a good first degree, Masters, or a PhD (or equivalent) in a data science orientated field with an emphasis on large-scale data integration and analysis.

About the Role

This full-time appointment is funded for 2 years with good opportunities for extension. Starting salary will be in the range £40,386 - £52,841 per annum inclusive of London Allowance. Benefits include 30 days annual leave, defined benefit pension scheme and interest-free season ticket loan. 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.

Informal enquiries should be addressed to Prof Michael Barnes at m.r.barnes@qmul.ac.uk

To apply, please visit the Human Resources website on www.jobs.qmul.ac.uk and search by post reference number QMUL32005.

Application enquiries can be directed to recruitment@qmul.ac.uk

The closing date for applications is 24 March 2023.

The interviews will be conducted shortly thereafter.

Advert information