Research Assistant/Associate in Health Research Applied Research

Imperial College London School of Public Health

United Kingdom

Job summary

The National Institute of Health Research Applied Research Collaboration (ARC) Northwest London has been established since October 2019 with the aim to facilitate and accelerate the translation of research innovations into practice across northwest London. This is an exciting opportunity to work as part of the Information and Intelligence theme of the ARC, to carry out and contribute to research programmes in health informatics.

Job listing information

  • Reference MED03361
  • Date posted 22 August 2022
  • Closing date 3 October 2022

Key information about the role

  • Location Charing Cross Campus (map)
  • Position type Full time, fixed term
  • Salary £43,093 – £48,736 plus benefits
  • Department School of Public Health
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

The National Institute of Health Research Applied Research Collaboration (ARC) Northwest London has been established since October 2019 with the aim to facilitate and accelerate the translation of research innovations into practice across northwest London.

This is an exciting opportunity to work as part of the Information and Intelligence theme of the ARC, to carry out and contribute to research programmes in health informatics.

Duties and responsibilities

You will investigate how new integrated data resources can be harnessed to identify problems across health and social care systems, target interventions and evaluate progress in addressing them. This will include the Northwest London Discover database, containing linked health and social care data for 2.3 million residents, providing a wealth of information valuable in improving health outcomes.

You will be responsible for designing, conducting, and writing up of statistical and/or machine learning analyses and research projects in line with the objectives of the Information Intelligence theme and the ARC programme.

You will identify, develop, and apply suitable techniques for the collection and analysis of data. You will also deliver technical training on data and statistical topics for the ARC programme at programme and project level.

You will be supporting multidisciplinary project teams in using statistical methods suitable for research and quality improvement, including defining measures, collection, storage, analysis and interpretation of data and helping to establish data quality assurance systems for the programme and projects.

Essential requirements

    • PhD in statistics, mathematics, bioinformatics or a closely related discipline, or equivalent research, industrial or commercial experience
    • Knowledge of statistics, machine learning and data science, applied health research
    • Knowledge of research methods and statistical procedures
    • Extensive practical experience in a broad range of techniques including generalised linear models, multi-level models, survival analyses, time series analysis, dimension reduction techniques, clustering methods and other statistical and machine learning methods
    • Ability to create and evaluate statistical models, and ability to select and deploy appropriate approaches to handling missing data

Further information

Candidates who don’t have / not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £38,194 - £41,388 per annum

The role is full time, fixed term until 30 September 2024 in the first instance.

Should you require any further details on the role please contact: Dr Thomas Woodcock– thomas.woodcock99@imperial.ac.uk

For technical issues when applying online please email support.jobs@imperial.ac.uk


In your application, please refer to Professorpositions.com

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