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research associate in medical statistics (medical statistician)

research associate in medical statistics (medical statistician)

United Kingdom 03 Jan 2021
Kings College London

Kings College London

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OPPORTUNITY DETAILS

Total reward
0 $
State University
Area
Host Country
Deadline
03 Jan 2021
Study level
Opportunity type
Specialities
Opportunity funding
Full funding
Eligible Countries
This opportunity is destined for all countries
Eligible Region
All Regions

Job Description

We have a post available to provide medical statistics inputs and analysis for projects within the AI Centre for Value Based Healthcare (AI4VBH), Wellcome/EPSRC Centre for Medical Engineering (CME) and the King’s Technology Evaluation Centre (KiTEC) all based within the School of Biomedical Engineering and Imaging Sciences at St Thomas’ Hospital.

The postholder will be responsible to the Associate Director of KiTEC and work closely with the KiTEC team and other health economists and medical statisticians in the School working to support the work of the Centres. The purpose of these roles is to provide medical statistics advice and analysis for a range of research projects and clinical studies conducted within the Centres. The projects focus on cardiovascular, oncological and neurological disorders to facilitate the development of valuable AI, medical device and medical imaging technologies and to maximise their impact for patients and the healthcare economy.

AI4VBH (https://www.kcl.ac.uk/bmeis/research-impact/london-medical-imaging-and-ai-centre-for-value-based-healthcare) is a consortium of academic, NHS and industry partners.  Our diverse research teams are training sophisticated artificial intelligence algorithms from a vast wealth of NHS medical images and patient pathway data to create new healthcare tools.  These will provide faster diagnosis, personalised therapies and effective screening across a range of conditions and procedures and allowing the NHS to optimise triage and target resources to deliver significant financial savings.

The CME (https://medicalengineering.org.uk/ ) combines expertise in biomedical and clinical research with excellence in the underpinning sciences of imaging engineering & physics, computational and mathematical approaches and imaging chemistry. Our focus is on accelerating the translation of our research to clinical benefit and industrial uptake. 

King’s Technology Evaluation Centre (KiTEC, http://www.kitec.co.uk/) uses its specialist Health Technology Assessment expertise to evaluate technologies for the National Institute for Health and Care Excellence (NICE). Projects undertaken by KiTEC include randomised controlled trials, systematic reviews, establishment of registers and databases, and assessment of innovative medical technologies and diagnostic procedures. As well as our work for NICE, there is an expanding programme of activity in support of NHS organisations and device manufacturers.

The Centres promote a culture of independent thinking, teamwork, and scientific excellence. The posts would benefit from someone who has experience in medical imaging and/or clinical trials.  The aim of this role is to provide ongoing medical statistic support for the researchers within the Centres and KiTEC, providing advice for project applications, performing ongoing statistical evaluations and contributing to assessments and reports for a range of different projects and studies. The job provides an opportunity to lead inputs in meta-analyses, clinical trial methodology and design, analysing real-world data, cost analyses, economic evaluations alongside trials, modelling, health technology assessment of medical devices and other large studies with direct impact on policy development in the NHS.

Please get in touch for an informal chat before applying.

This advertisement does meet the requirements for a Certificate of Sponsorship under Home Office regulations and therefore the university will be able to offer sponsorship for this role.

This post is subject to Disclosure and Barring Service and Occupational Health clearance.

This is a full time, fixed-term contract until 27 April 2022, with prospect of extension subject to funding.


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