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Research Fellow (Statistician) – Eating Disorders Clinical Research Network

King's College London - Social, Genetic & Dev Psychiatry

Location: London
Salary: £51,974 to £61,021 per annum inclusive of London Weighting Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 15th November 2024
Closes: 15th December 2024
Job Ref: 098308
 

About Us

We are seeking a highly motivated Research Fellow (Statistician) to join the Eating Disorders Clinical Research Network, a groundbreaking initiative led by King’s College London and South London and Maudsley NHS Foundation Trust. you will be based in the KCL Social, Genetic, and Developmental Psychiatry Centre, within the Institute of Psychiatry, Psychology and Neuroscience (IoPPN).

These centres offer a diverse research environment that is open, welcoming and supportive to all. The faculty-wide initiatives are supported by an active Diversity & Inclusion Team. To help us achieve our goals, we particularly welcome applications from people from backgrounds who are currently under-represented in UK Higher Education (E.g. Black, Asian, Latinx, and other white ethnic minorities).

About The Role

We welcome applications for a Research Fellow (Statistician) to join the Eating Disorders Clinical Research Network. Together with clinicians, researchers and people with lived experience, the EDCRN has agreed a core dataset to record eating disorder symptoms, treatment, outcomes, demographics, risk factors and physical health markers. Data will be collected from patients, caregivers and clinicians in participating child and adult eating disorder services across the UK. Data will be stored in a secure data environment, fully compliant with NHS security standards. The project is co-led by Professor Gerome Breen (King’s) and Dr. Karina Allen (South London and Maudsley NHS Foundation Trust).

The successful candidate will work with Co-PI Breen and Co-Investigators to develop the data analysis pipelines for the project to enable a range of biopsychosocial and emulated clinical trial analyses. They will carry out proof of principal emulated clinical trial analysis with the EDCRN dataset. For instance, assessing the difference in outcomes between treatment groups; or, comparing existing treatments with novel modalities. There is scope for the successful candidate to propose and lead original analyses using the data.

The post-holder will work closely with the rest of the EDCRN team and PI Breen’s wider research group to facilitate linkage and analyses of external data sources, e.g. data from participants consented into the Eating Disorders Genetics Initiative UK.

This is a full time post available from 1st December 2024, and you will be offered a fixed term contract until 29th October 2026.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

  • PhD qualified in biostatistics, statistics or related field (or pending results)
  • Proficient in using R, Python or similar programming language
  • Experience of working with clinical data.
  • Experience of developing research programmes and/or methodologies in a relevant field.
  • Track record of publishing peer-reviewed outputs in high-quality journals or similar.
  • Ability to be proactive in organising own work and that of others.
  • Good time management and attention to detail.
  • Ability to communicate complex and conceptual ideas to a range of audiences.

Desirable criteria

  • Experience or interest in eating disorders or general mental health.
  • Experience of working within Trusted Research Environments to analyse data.
  • Experience of target trial emulation.
  • Experience of teaching and supervision.

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

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