Medical Statistician - London, United Kingdom - Queen Mary University of London

Queen Mary University of London
Queen Mary University of London
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London, United Kingdom

1 month ago

Tom O´Connor

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Tom O´Connor

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Description

Job title

Medical Statistician

Institute/Centre
Centre for Prevention, Detection & Diagnosis,

Wolfson Institute of Population Health, Faculty of Medicine & Dentistry


Reports to
Reader in Clinical Neurology


Working hours
Full time, 35 hours per week


Work activity type
Research


Job context


The Preventive Neurology Unit (PNU) is part of the Wolfson Institute of Population Health, which has a focus on academic discipline, research, the translation of research into public health strategies and their practical implementation - all dedicated to the reduction of disease and disability.

The PNU is active in the following research areas: Multiple sclerosis, Parkinson's disease and Dementia.


Job purpose


This grant funded role focusses on using the UK MS Register and linked primary care data to uncover and evaluate the true impact of potentially modifiable risk factors for MS-related disability and progression.

The work to be undertaken will use Bayesian network analysis to uncover novel interactions and associations between modifiable risk factors associated with MS onset and progression, along with sociodemographic factors.

Potential interactions with non modifiable factors such as age and gender will be examined using network analysis to understand the best means and times for interventions that can impact on MS susceptibility, MS severity, or both.


Main duties and responsibilities

  • To develop a Bayesian network structure based on knowledge and assumptions from existing literature using AgenaRisk or similar software
  • To develop curated datasets containing linked clinical and MS Register data on selected populations for analysis
  • To use data from the UK MS Register to train and evaluate proposed networks, with particular consideration for missing and biased data
  • To evaluate the performance of networks developed within UK MS Register within Clinical Practice Research Datalink (CPRD) in order to further understand paradoxes within datasets
  • To work with the relevant Principal Investigators to help design new studies using large scale datasets
  • To prepare draft reports of study data for discussion with wider research team.
  • To start to develop a reputation and some research independence.

Job Types:
Full-time, Fixed term contract

Contract length: 12 months


Salary:
£36,348.00 per year


Benefits:


  • Additional leave
  • Casual dress
  • Company pension
  • Cycle to work scheme
  • Sick pay
  • Work from home

Schedule:

  • Monday to Friday

Ability to commute/relocate:

  • London: reliably commute or plan to relocate before starting work (required)

Work Location:
Hybrid remote in London

Application deadline: 06/03/2023


Reference ID:
QMUL31122

Expected start date: 01/04/2023
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