University of Birmingham (UB)

Research Fellow (Statistical Computing)

University of Birmingham

Birmingham, United Kingdom

Post Title: Research Fellow (Statistical Computing) – 81915

Organisation Advertising Description: School of Cancer and Genomic Sciences

College of Medical and Dental Sciences

Location: The University of Birmingham, Edgbaston, Birmingham

Full time/part time: Full time

Duration: Fixed term for 36 months

Grade/band: Grade 7

Salary: Full time starting salary is normally in the range £30,395 to £39,609. With potential progression once in post to £42,036 a year

Closing Date: 12th September 2019. Interviews will be held on 3rd October 2019.

Research Fellow (Statistical Computing):
We are looking to recruit an enthusiastic researcher who will lead the development of novel statistical and AI approaches for the analysis of multimodal medical information residing in clinical and biomedical resources in close collaboration with domain experts.

The post holder will be joining the Gkoutos Group and will be part of the Health Data Research (HDR) UK, situated within the Institute of Translational Medicine and the Centre for Computational Biology. The successful candidate will also be working closely with the Alan Turing Institute. The HDR aims to develop and apply cutting-edge analytical approaches and methodologies in order to address the most pressing health research challenges in the UK. The HDR Midlands provides access to a large variety of multimodal and multidimensional datasets of approx. 5 million patients, including for example more than 20 million clinical text documents and approximately 5 million radiological images and reports.

The purpose of the new role is to lead the development and testing of novel state-of-the-art approaches to extract clinically and biomedical relevant, information and knowledge from patients electronic health records. The post holder will have sound knowledge in the application of statistics and modern machine learning techniques, data science, and a track record in discovering hidden sub-groups/clusters in data. We anticipate that new machine learning and statistical computational approaches will be developed to support this aim. Furthermore, the post holder will have a substantial experience in visualising research outcomes and communicate these to third parties. We offer an excellent network of biomedical and technological collaborations, as well as opportunities for discovery validation and translation into clinic or pharma by domain experts

Fixed term 3 years offering a considerable scope for innovation and academic development

Person Specification;
• PhD or equivalent experience in Mathematics, Statistics, Computer Sciences or Bioinformatics with a strong background in statistical computing and statistical machine learning. Candidates from related disciplines with a sound and proven background in these and excellent quantitative skills are encouraged to apply.
You require the ability to;
• Design, create, and apply modern state-of-the-art statistical machine learning and artificial intelligence approaches in biomedical and clinical settings.
• Model and develop statistical models within the context of clinical applications.
• Apply cutting-edge machine learning approaches within a real-world clinical setting in close cooperation with medical experts.
• Drive novel applications and take responsibility over large and diverse projects within the HDR UK and the Alan Turing Institute together with researchers from a variety of different backgrounds.
• Manipulate, integrate, and analyse diverse data of different dimensions and quality, residing in distributed sources.

Informal enquiries to CCB Centre Manager, Jessica Mylchreest, j.mylchreest@bham.ac.uk, Telephone +44 (0)121 414 7012.

Valuing excellence, sustaining investment
We value diversity at The University of Birmingham and welcome applications from all sections of the community’

Please apply via recruiter’s website.

Quote Reference: 81915

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