The team works in close collaboration with researchers and clinicians from across the King’s Health Partners Academic Health Sciences Centre (http://www.kingshealthpartners.org/), the Gate team at the University of Sheffield (GATE, http://gate.ac.uk) and the Healthcare Text Analytics Group at Manchester University (http://gnode1.mib.man.ac.uk/hecta.html)
The team is involved in developing a variety of leading world research programmes at King’s Health Partners including the Genomics England 100, 000 Genome Project, the NIHR Bioresource and the Clinical Records Interactive Search (CRIS) system at South London and Maudsley NHS Foundation Trust, an innovative resource built by the Maudsley BRC which allows researchers access to de-identified NHS electronic health records data to enhance clinical research for patient benefit.
The post holders will work predominantly with the CRIS system, with a focus on developing natural language processing capability; e.g. developing text mining applications using GATE to extract structured information from free text and developing new methods of exploiting clinical data for research.
To maximise the value of electronic health record data the post holders will develop approaches to integrate extracted data with, for example, background information mined from biomedical literature and genomics data.
Successful applicants will have a PhD in a relevant discipline (e.g. clinical informatics, bioinformatics, text mining, natural language processing), experience of post-doctoral research, a strong publication track record in a relevant scientific area and proven experience of managing large collaborative projects. Relevant data analysis and programming skills (e.g Java, Python, R) and advanced data manipulation and analysis capability, e.g. in R, Matlab or other tools, combined with strong communication skills including the ability to explain work in non technical terms are essential. Knowledge regarding the translation of findings into clinical practice would be advantageous.
Positioned at the University/NHS Trust interface the posts offer an exciting opportunity to work with an internationally leading multi-disciplinary team of researchers and clinicians to accelerate advances in translational clinical research and experimental medicine and transform mental and physical healthcare through the power of big data.
The closing date for receipt of applications is 16 October 2014.
Interviews will be held in November.
Apply here:
https://www.hirewire.co.uk/HE/1061247/MS_JobDetails.aspx?JobID=54630
