Data Linkage Research and Governance Coordinator - London, United Kingdom - South London and Maudsley NHS Foundation Trust

Tom O´Connor

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Tom O´Connor

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Description

This is an exciting opportunity for a dynamic, enthusiastic, and analytical individual with significant interest and understanding of information governance and digital technology, especially applied within the field of clinical health research, and excellent communication skills.


You will be a key player in the CDLS, supporting the secure linkage of clinical data sets from different clinical sites and ensuring the highest ethical, legal, and regulatory standards.

You will also play a key role in supporting best use of these data for research - maximising potential secondary uses of pseudonymised clinical data for improved research and clinical benefits.

You will have the opportunity of working closely with experts in clinical research, informatics, and information governance.


You will be working within an academic health sciences centre with extensive biomedical research experience, pioneering clinical services, robust governance arrangements and an international reputation.


Career Progression pathways and development opportunities:
We are committed to get the very best out of our staff and support staff in their career aspirations.

We have career pathways available, where you will be able to develop your skills and build on your experience to progress into other roles across different specialties.


This is an exciting opportunity for a dynamic, enthusiastic and analytical individual with research experience, familiarity with clinical research datasets, good grasp of information technology and excellent communication skills.

You will be a key player in the CDLS supporting data linkage processing by which pseudonymised clinical data from different sources are linked for research in a way that protects confidentiality, maintains security and improves quality of data whilst maximising potential secondary uses of pseudonymised clinical data for improved research benefits.

You will be working in an academic health sciences centre with extensive biomedical research experience, pioneering clinical services, robust governance arrangements and international reputation.

You will be expected to undertake the tasks required for the day-to-day running of the CDLS as a safe haven and will be responsible to process data linkage, promote and support effective and secure secondary utilisation of clinical information to support and maintain well-being and improve healthcare delivery.


Flexible working:

As one of the few Trusts in London we are proud to offer flexible working as part of our new ways of working, and we are happy to talk flexible working at the interview stage.

In this role you will be able to work Monday to Friday in the time frames from 8am to 6pm, giving you the very best of good work life balance.


About Us:


You will play a key-role in the South London and Maudsley NHS Foundation Trust (SLAM) and the Biomedical Research Centre (BRC) Clinical Data Linkage Service (CDLS).

The CDLS has been set up to enable secure linkage of clinical data from different sources to improve the scope for observational research whilst protecting the legal and ethical rights of patients.


The CDLS is an integral part of the BRC's Clinical Informatics Service, which supports the use of clinical data for research purposes - largely through use of the CRIS system.

We work closely with academics, clinicians, and information governance teams within the BRC and SLaM.


About our locations:


The Clinical Informatics Service is based at the King's College London Institute of Psychiatry, Psychology and Neuroscience Main Building at Denmark Hill, part of the Maudsley Hospital site.


Located less than 10 minutes from the train station (zone 2) and is within walking distance from the beautiful green spaces of Ruskin park and the vibrant high-street that offers great shopping opportunities and with a wide range restaurants.


To support the development and implementation of streamlined protocols to effectively and accurately integrate pseudonymised clinical data from different sources, various medical specialties and multiple organisations; to enter into discussions with different research groups to generate collaborative ideas and meaningful correlations between specialties and organisations to stimulate potential secondary uses of clinical data.

To communicate effectively to respond to enquiries to the CDLS from internal and

external stakeholders and users of the CDLS service; to communicate complex technical ideas and arguments relevant to the CDLS function in ways which lay audiences can readily understand

To support resolution of technical system and dataset integration issues; to support the development of standards and methods for data mining, coding and analysis

To respond to and resolve data mining performance issues; to work in accordance with local and national policies in the daily running of the CDLS in order to protect

confidentiality, maintain security and improve quality of data whilst maximising pote

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