Research Associate – Text mining of veterinary records
This is an exciting opportunity for an experienced and enthusiastic text mining researcher to work on the SAVSNET project, which collects and analyses free-text narrative contained in health records of pets in the UK. SAVSNET have already developed a series of clinical text mining algorithms to extract clinical signs and parameters recorded in the veterinary clinical narrative, and the current project (funded by BBSRC) aims to consolidate the existing and develop new algorithms that are able to identify key details and context of each patient’s visit in near-real time. The successful candidate will be involved in designing, consolidating and implementing both rule-based and data-driven approaches, and their integration within the existing SAVSNET platform.
Closing Date : 16/07/2017
Duration : Available from Sept 2017 for up to 18 months full-time (or equivalent part-time) in the first instance;
School/Directorate: School of Computer Science, University of Manchester
Job Reference: S&E-010235
Two NLP research posts at King’s College
We are pleased to announce two exciting job opportunities for postdoctoral research in NLP and Clinical Informatics at King’s College, London:
* One 2-year Research Associate post with a focus on development of methods using anonymised electronic health record (EHR) data for research into suicide risk as part of a wider research programme entitled Electronic health records to predict HOspitalised Suicide attempts: Targeting Information Technology solutions (e-HOST-IT):
* One 1-year Research associate post with a focus on development of solutions for extracting semantic (in particular temporal) information from EHR text in the mental health domain as part of the research project Measuring Duration of Untreated Psychosis by Extraction of Symptom and Treatment Onset from mental health records using language technology (MeDESTO):
Please don’t hesitate to contact us if you have any questions (Sumithra & Rina).
Research Associate in Clinical Informatics
We have an exciting opportunity for a research associate to join our Informatics team (http://core.brc.iop.kcl.ac.uk) at the National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at King’s College London (www.slam.nhs.uk/brc).
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), as well as other international research groups in clinical Natural Language Processing.
The team is involved in developing a variety of leading world research programmes at King’s Health Partners including 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 holder will work as part of a wider research project entitled Electronic health records to predict Hospitalised Suicide attempts: Targeting Information Technology solutions (e-HOST-IT). Advanced programming, text data manipulation and analysis skills, e.g. in python, Java or similar, are required.
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 selection process will include competency based questions, a presentation, an assessment and a panel interview.
To apply for this role, please go to the King’s College London HireWire Job Board and register to download and submit the specified application form.
Closing date: 04 August 2017
If you have questions about this role, please contact: Dr Rina Dutta, Email: firstname.lastname@example.org,
Application details here.