Research Fellow to join the Big Data in Health Group at the Primary Care Research Centre, working across the NIHR CNC for methodologies
About the NIHR CNC
Research into Multiple Long-Term Conditions (MLTC) is a strategic priority for the NIHR. A Multiple Long-Term Conditions Cross-NIHR Collaboration (MLTC CNC) has been established to bring together the NIHR’s translational, applied and policy research infrastructure to respond to the NIHR Strategic Framework for MLTC Research; and work together to tackle the MLTC research questions that could not be achieved without this cross-disciplinary collaborative endeavour. This Collaboration will be inclusive of all parts of NIHR which includes NIHR Infrastructure (Biomedical Research Centres, Applied Research Collaborations etc.), Schools and Units to maximise the use of existing resources, leverage additional funding, attract commercial and non-commercial partners and collaborators, and build research capability, capacity and leadership in MLTC research.
We are recruiting a part-time research fellow to join The Methodologies Workstream within the CNC. This workstream is led by Associate Professor Hajira Dambha-Miller (University of Southampton) and Professor Colin McCowan (University of St. Andrews). This workstream aims to identify the key challenges around research methodologies (including data science, recruitment, and analysis methods) to treat and prevent MLTC; or the consequences of MLTC - which requires a collaborative approach to overcome and accelerate research for the benefit of patients.
You will be based within The Big Data in Health Group (BDiH ) at the University of Southampton under the supervision of Dr Hajira Dambha-Miller but your role will be carried out remotely working with our interdisciplinary and senior methodologies team across the NIHR infrastructure.
About the role
This position is a unique opportunity to work closely within our team co-ordinating activities and leading dissemination activities for our group.
The post holder will already be working in the field of multimorbidity. They will have good organisation and administrative skills. They will have excellent writing skills and be able to work independently to draft high-quality academic research papers and convey methodological results of findings through presentations using interactive visualisations. You will be working under time pressures with tight deadlines.
The post is funded for 6 months in the first instance with the potential for extension.
About you
If you believe you meet the requirements for the post, join us to take forward this exciting opportunity and become part of an innovative and dynamic research group where you will be valued, included and supported. The Research Fellow must have a PhD and excellent written and verbal English skills.
Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.
For an informal discussion about the post please contact Associate Professor Hajira Dambha-Miller at: H.Dambha-Miller@soton.ac.uk.
As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.
This role does not qualify for Skilled Worker Visa sponsorship. To explore alternative UK visa options, see gov.uk.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
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