Research Associate in Ageing Epidemiology

This is an exciting opportunity for two experienced Epidemiologists/ Bioinformaticians to join the Ageing Epidemiology (AGE) Research Unit, and work on either the CHARIOT PRO or eFINGER PRINT studies, in two posts funded by the National Institute of Health Research Applied Research Collaborations (ARC). CHARIOT PRO is prospective longitudinal, biomarker and data – enriched study of cognitively healthy individuals, at baseline, aiming to evaluate key biological mechanisms in Alzheimer’s disease and related dementias (ADRD) development. e-FINGER PRINT is a population-based study for ADRD prevention, includes piloting of innovative e-interventions for self-led lifestyle strategies targeting key domains identified through the Finish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER): diet, physical activity, cognitive training, vascular and metabolic risk factors control, and social engagement. The post-holders will work with rich state-of-the-art data and can make a genuine contribution to the fight against dementia.

Duties and responsibilities

• Within the CHARIOT PRO study, you will, in addition to more traditional analytical approaches, develop and apply novel machine learning methodologies, including unsupervised clustering of genetic, phenotypic and molecular data to further understand the diversity and heterogeneity of ADRD, which will have great relevance for preventative strategies. 
• Within the eFINGER PRINT study, you will work on analysis of effects of polygenic risk score and environmental interactions/ co-morbidities on cognitive performance and validation of on-line tools for personalized lifestyle interventions for community-based prevention.
• You will also work on dementia prevention-relevant health promotional activities and community-based recruitment for CHARIOT / e-FINGER PRINT targeting diverse social & ethnic groups.
• In addition, you with collaborate closely with their peers also funded by the ARC scheme and work with (and under the supervision and support of) a group of academic colleagues with expertise in related fields.

Essential requirements

You will have a PhD or equivalent in Epidemiology, Statistics, Computational Science, Biomedical sciences, Mathematics, Neuroscience, Psychology or a closely related quantitative discipline and a strong understanding of neurodegenerative disease, omics and molecular mechanisms, data management, computational and presentation skills. You will have experience of working in epidemiological studies, experience of using multivariate models to screen high-dimensional data and interest in dementia prevention.

Further Information

This position is full-time and fixed term for 24 months and will be based at the White City Campus

Should you have any queries please contact:  Prof Lefkos Middleton – l.middleton@imperial.ac.uk.

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