Epidemiologist: Hidden Populations & Inclusion

Epidemiologist: Hidden Populations & Inclusion

Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
The University of Edinburgh

At a Glance

  • Tasks: Advance research to improve visibility of children with disabilities in global data systems.
  • Company: The University of Edinburgh, partnered with Childlight, focused on impactful research.
  • Benefits: Competitive salary, professional development, and a chance to make a difference.
  • Other info: Join a dynamic team dedicated to social impact and inclusivity.
  • Why this job: Contribute to meaningful change for hidden populations and enhance global data inclusion.
  • Qualifications: Experience in epidemiology and strong analytical skills required.

The predicted salary is between 35000 - 45000 Β£ per year.

The University of Edinburgh, in partnership with Childlight, invites applications for an Epidemiologist (Hidden Populations).

This fixed-term role advances methodological work to improve visibility and inclusion of children living with disabilities in global data systems.

You will develop proof-of-concept indicators, support disaggregation and statistical analysis, and contribute to guidance for data collection and analysis across international datasets.

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Epidemiologist: Hidden Populations & Inclusion employer: The University of Edinburgh

The University of Edinburgh is an exceptional employer, offering a dynamic work environment where innovation meets inclusivity. With a competitive salary and comprehensive benefits, employees are encouraged to grow professionally while contributing to cutting-edge research in cyber-security. Located in Glasgow, the university fosters a vibrant community that values diversity and promotes equal opportunities for all staff members.

The University of Edinburgh

Contact Details:

The University of Edinburgh Recruitment Team

We think you need these skills to ace Epidemiologist: Hidden Populations & Inclusion

Statistical Analysis
Data Collection
Data Disaggregation
Methodological Development
Epidemiological Research
Guidance Development
International Data Systems