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.

This project will use UK MS Register data, linked with clinical and primary care data for some cases, to create Bayesian networks. This will allow the findings to move beyond current observational approaches and apply modern machine learning techniques to existing large datasets.

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 prepare reports and scientific papers to disseminate results from the programme of research through peer reviewed national and international publications, conferences and exhibitions and to contribute towards research grant applications.

· To provide line management to more junior members of staff where requested. This will include establishing clear objectives and standards, ensuring ongoing appraisals and development and applying QMUL policies appropriately to engage and motive them in support of departmental objectives.

· 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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