Application closing date 06/11/2019  
Salary £33,797 to £40,322 per annum  
Job category/type Research
Attachments  

Job description

The Research Fellow will develop innovative approaches to image analysis including algorithm application and design, along with automated detection and grading of cancer from microscopic images as part of the Tissue Hybridisation and Digital Pathology (TH & DP) section of the Precision Medicine Centre of Excellence (PMC).  This role will require a level of independent and creative effort in their approach to these problems, and the Research Assistant will work closely with the Clinical lead for TH & DP and supported by the scientific lead for TH & DP.

The Centre for Cancer Research and Cell Biology (CCRCB) sits within the School of Medicine, Dentistry and Biomedical Sciences and the Precision Medicine Centre (PMC) is a new clinical laboratory bringing together high-throughput genomics, digital pathology and big data analytics in a fully integrated fashion. The PMC aims to accelerate the translation of potentially relevant diagnostic, prognostic and therapeutic findings into clinically actionable information by applying state-of-the-art technology in a clinical laboratory environment. Our partnerships and collaborations with industry, academia and healthcare organisations maximises the potential to capitalise on the value of integrated clinical and biomarker information to improve patient's outcome.

The PMC operates within a structure of two core interconnected sections - Genomics and Tissue Hybridization & Digital Pathology, linked by a Bioinformatics team and supported by a dedicated management team. The PMC, working in partnership with the successful Northern Ireland Biobank (NIB), is integrated in an existing molecular programme honed by successful research grant funding investment of several million, infrastructure programmes and clinical trials.

The successful candidate must have: 

• Have or be about to obtain a PhD in Machine Learning, Deep Learning, Image Analysis or related discipline.
• At least three year's relevant experience in the development of algorithms for the analysis of large image data, or equivalent large data sets.
• Experience in image processing tools and libraries e.g. the use of OpenCV, scikit-image, ImageJ.
• Experience of Deep Learning frameworks e.g. Theano, Tensorflow, Caffe, Keras

Candidate Information
About the Centre

Informal enquiries may be directed to Mrs Beryl Graham, email: Bp.Graham@qub.ac.uk 

Information for International Applicants
Note to EEA Applicants on Brexit