Senior Postdoctoral Researcher — Youth Mental Health Analytics

University of Oxford

Oxford

Hybrid

GBP 50,000 - 59,000

Full time

5 days ago
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Job summary

The University of Oxford’s Department of Psychiatry invites applications for a Senior Postdoctoral Researcher to join MARGINS (Mental health And Restrictions: Generating new INSights). Based at the Warneford Hospital, Oxford, the post-holder will provide senior quantitative and methodological leadership across three research streams, working with international collaborators.

You will lead development of research questions and analytical approaches, conduct complex analyses on large-scale

Qualifications

  • You will hold a PhD/DPhil in health, behavioural or social science with post-qualification research experience.
  • Experience of conducting research with adolescents aged roughly 12–18 years, focusing on mental health and wellbeing.
  • Desirable: experience or interest in research relating to young people’s digital environments and population health.

Responsibilities

  • Lead development of research questions and analytical approaches within the MARGINS programme.
  • Develop and lead complex quantitative analyses using large-scale cross-sectional, longitudinal and international datasets.
  • Contribute to interpretation and integration of findings and to high-quality research publications, reports and presentations.

Skills

Quantitative analysis
Research leadership
Grant applications
Adolescent health research

Education

PhD/DPhil in health, behavioural or social science

Job description

The University of Oxford’s Department of Psychiatry invites applications for a Senior Postdoctoral Researcher to join MARGINS (Mental health And Restrictions: Generating new INSights). Based at the Warneford Hospital, Oxford, the post-holder will provide senior quantitative and methodological leadership across three research streams, working with international collaborators.

You will lead development of research questions and analytical approaches, conduct complex analyses on large-scale

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