Postdoctoral Research Associate - Data analysis (EDIFY)

London (Greater) (GB)
Thursday, 25 November 2021
End of advertisement period
Tuesday, 7 December 2021
Contract Type
Fixed Term
Full Time

Applications are invited for a talented, enthusiastic and highly motivated postdoc to join our team at the Institute of Psychiatry, Psychology and Neuroscience at King’s College London. 

The successful applicant will be part of a multidisciplinary team of researchers who aim to transform the way in which eating disorders (ED) are identified, prevented, and treated. 

Specifically, the work involves applying state of the art multivariate statistical approaches to analyse well-characterised longitudinal cohorts to develop and test predictive models of risk and resilience for EDs and associated behaviours in young people. This will help determine: (1) Biopsychosocial markers of EDs and which of these are predictors vs. correlates of illness; (2) Key societal (e.g., COVID) and interpersonal (e.g., social media, victimisation, discrimination) drivers of appearance concerns and disordered eating behaviours; (3) Whether the same factors predict onset of high-risk behaviours (appearance concerns, dieting), and progression from high-risk behaviours into EDs; (4) How young people being in under-represented groups (ethnic and sexual minorities, higher BMI, and combination of these) influence these risk factors/models. 

The work may also include supervising recruitment and assessment of participants using a range of neuropsychological and neurocognitive tasks, run MRI scans and collect biological samples. 

The position provides excellent opportunities for cutting-edge approaches and innovative research in one of the world leading research environments, and to develop extensive collaborative experience in clinical neuroscience within a worldwide network.

The successful candidate will have a PhD in computer science or a related discipline (biostatistics, biomedical engineering, applied math), genetics, neuroimaging or imaging neuroscience. Solid big data programming skills with a working knowledge of Linux, C/C++, Python and Matlab and strong statistical skills are expected. Experience in neuroimaging processing and analysis, such as familiarity with the use of FSL, SPM, Freesurfer or other relevant programs and the application of statistical methods such as voxel-based or connectivity analyses is a strong plus. Willingness to engage with patients and other service users in research and strong interpersonal skills are expected. Excellent scientific writing skills and a strong publication record, preferably as first author, are highly desired.

Willingness to engage with patients and other service users in research and strong  

Candidates should submit with their application a CV and cover letter with concise description of their research interests and career goals. 

This post will be offered on a fixed-term contract for 2-3 years  

This is a full-time  post - 100% full time equivalent

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