Child health, Epidemiology, Statistics, Biostatistics Postdoctoral Scholarship 1028 views

Child health, Epidemiology, Statistics, Biostatistics Postdoctoral Scholarship

Centre for International Child Health (CICH) is seeking postdoctoral fellow for an initial appointment of 1 year with the strong possibility of renewal.

  • The postdoctoral fellow will conduct research and operational management of global health initiatives utilizing digital health technologies in Uganda (and other low-resource countries) with a focus on paediatric, maternal and newborn populations.
  • The candidate will be required to reside in Uganda for the majority of this appointment.
  • The position is available to a PhD trained individual with a desire to embrace the complexity and messiness of frugal digital health implementation in low-resource settings with passion, resilience, and lots of creativity.

The primary activities of the Postdoctoral Research Fellows include:

  1. Conducting substantive, methodologically rigorous research analyses
  2. Participating in study design, quality assurance testing, documenting coding methods, and interpreting results;
  3. Act as lead research manager of projects in Uganda (e.g. Uganda team lead).  Travel throughout Africa is expected
  4. Organizing and collecting data – helping coordinate research assistants and staff to support these activities
  5. Representing the research team to Minister of Health officials in Uganda
  6. Working with stakeholder and NGO partners in Uganda
  7. Contributing to literature reviews and syntheses;
  8. Writing research abstracts, summary reports, and scientific articles, and submitting articles to peer-reviewed journals;
  9. Presenting study results to the scientific community at national and international conferences;
  10. Identifying and pursuing secondary research projects and research funding;
  11. Collaborating with the other research teams.

The candidate is responsible for supervision of Canadian and Ugandan research team staff, staff at research hospitals (eg. Study nurse, data collectors), and students.

Required Qualification

  1. Demonstrated ability to thrive in a collaborative team environment
  2. High personal motivation, self-management, detail-orientated; ability to take responsibility for meeting deadlines
  3. High degree of comfort with change, and the ability to be agile and adaptable as the projects evolve in large complex health systems and their health technologies.
  4. The qualified candidate(s) will have a doctorate degree in a relevant discipline (i.e., Epidemiology, Statistics, Biostatistics, Public Health or a related field as long as the candidate has a strong foundation in statistics). Minimum of two years related experience.
  5. Demonstrated skills in data management and programming using statistical packages (SAS and SQL and occasionally STATA and R);
  6. Demonstrated knowledge of research processes, systematic reviews, and syntheses;
    Education/training and experience in quantitative research methods, and multivariate statistical analysis;

How to Apply

Interested individuals should send their

  1. curriculum vitae with all relevant employment and academic experience;
  2. 1-2 writing samples (publications) or thesis chapter;
  3. and a cover letter, noting research experience and interest in the position by email to Bella Hwang –
  4. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the BC Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit, or Indigenous person.
  5. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.
Type Postdoctoral
Subject Child health, Epidemiology, Statistics, Biostatistics,
Closing date May 31, 2020
University of British Columbia Canada email to Bella Hwang –


Company Information
  • Total Jobs 59 Jobs
  • Address Canada
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