Organisation/Company:
UNIVERSITY OF SOUTHAMPTON Research Field:
Other Researcher Profile:
Recognised Researcher (R2) ,
First Stage Researcher (R1) Country:
United Kingdom Application Deadline:
5 Jan 2025 - 00:00 (UTC) Type of Contract:
Other Job Status:
Part-time Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description
Research technician 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
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, including the NIHR Infrastructure (Biomedical Research Centres, Applied Research Collaborations etc.), Schools and Units. About the role
The Research Technician will have an understanding of the MLTC field, with strong organisational and administrative skills. They will have good writing skills, work independently, and contribute to drafting high-quality academic research papers and convey methodological results through presentations using interactive visualisations. The post is funded for 6 months initially, with the potential for extension depending on progress and funding availability. About You:
We are seeking applicants with an understanding of MLTC and methodologies for health research. The ideal candidate will have: Strong organisational and administrative skills. Excellent written and verbal communication skills. An ability to contribute to the drafting of research papers and presenting findings through clear and effective visualisations. Familiarity with the challenges of research in the context of MLTC and complex health data. Experience and qualifications in research methodologies, data science, statistics, epidemiology, or related fields are highly desirable. If you meet the qualifications for this position, we invite you to apply and become part of an innovative and dynamic research group. We aim to create a working environment where you are valued, included, and supported. Applications will be considered from candidates with relevant experience.
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UNIVERSITY OF SOUTHAMPTON Research Field:
Other Researcher Profile:
Recognised Researcher (R2) ,
First Stage Researcher (R1) Country:
United Kingdom Application Deadline:
5 Jan 2025 - 00:00 (UTC) Type of Contract:
Other Job Status:
Part-time Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description
Research technician 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
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, including the NIHR Infrastructure (Biomedical Research Centres, Applied Research Collaborations etc.), Schools and Units. About the role
The Research Technician will have an understanding of the MLTC field, with strong organisational and administrative skills. They will have good writing skills, work independently, and contribute to drafting high-quality academic research papers and convey methodological results through presentations using interactive visualisations. The post is funded for 6 months initially, with the potential for extension depending on progress and funding availability. About You:
We are seeking applicants with an understanding of MLTC and methodologies for health research. The ideal candidate will have: Strong organisational and administrative skills. Excellent written and verbal communication skills. An ability to contribute to the drafting of research papers and presenting findings through clear and effective visualisations. Familiarity with the challenges of research in the context of MLTC and complex health data. Experience and qualifications in research methodologies, data science, statistics, epidemiology, or related fields are highly desirable. If you meet the qualifications for this position, we invite you to apply and become part of an innovative and dynamic research group. We aim to create a working environment where you are valued, included, and supported. Applications will be considered from candidates with relevant experience.
#J-18808-Ljbffr
