The Centre for Health Informatics, Computation and Statistics (CHICAS)
at the Lancaster Medical School has an opportunity for a talented
machine learning researcher or computational statistician to work on an
Academy of Medical Science funded two-year research project into
neurodegenerative diseases. As the successful applicant, you will help
develop accurate prediction models for patient outcomes in Alzheimer’s
disease, motor neuron disease and Parkinson’s disease, based on a
combination of clinical, molecular and neuroimaging data.
The project is a collaboration with researchers at the Sheffield
Institute for Translational Neuroscience (SITraN), the German Centre for
Neurodegenerative Diseases (DZNE) and the Luxembourg Centre for Systems
Biomedicine (LCSB). You will work on data from the Alzheimer’s Disease
Neuroimaging Initiative (ADNI), the PRO-ACT motor neurone database, and
the Parkinson’s Progression Markers Initiative (PPMI) study. The goal
will be to use semi-supervised approaches to identify disease subtypes
and predict clinical progression.
You will have regular interactions with clinical and medical science
researchers to discuss ideas and validate findings. The research will
lead to a better understanding of variable phenotypes underlying
neurodegenerative diseases, as well as resulting in accurate machine
learning methods for predicting cognitive and physical decline in patients.
CHICAS is a vibrant and diverse research group within the Lancaster
Medical School, comprising researchers into epidemiology, machine
learning, statistical genomics and spatial and longitudinal statistics.
The group has close ties to both the School of Mathematics and
Statistics, and the Lancaster Data Science Institute, both of which have
a reputation for excellence in statistical and computational research.
Lancaster Medical School is at an exciting stage of its development
having just been awarded its PMQ. Lancaster University is one of the top
ten UK universities (The Complete University Guide 2018) and the Times
University of the Year 2018.
Applications close Sunday 10 June 2018. Interviews will take place in
June 2018.
Informal inquiries can be made to Dr Frank Dondelinger:
[log in to unmask] <mailto:[log in to unmask]>
Applications can be submitted via the online system:
https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2222-R
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Lecturer in Biostatistics
Room B.06a, Furness College
Lancaster University
Tel: 01524594759
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