HARVARD UNIVERSITY

Postdoctoral Fellow, Global Maternal and Child Health

Location
Massachusetts, United States
Posted
Friday, 4 October 2019
End of advertisement period
Sunday, 3 November 2019
Ref
9315
Contract Type
Permanent
Hours
Full Time

School

Harvard T.H. Chan School of Public Health

Department/Area

Epidemiology

Position Description

The HaSET (“happiness” in Amharic”) Global Maternal and Child Health Research Program at the Harvard Chan School of Public Health invites applications for a Postdoctoral Fellow. Our program works closely with partners in Ethiopia and Ethiopia’s Federal Ministry of Health to generate evidence to improve maternal and child health programs and policies. In addition, we provide technical capacity building to colleagues in program implementation, data analysis, and use of evidence for policy and action.

Research will be conducted jointly by the Harvard School of Public Health, Boston Children’s Hospital, and several Ethiopian institutions. The Postdoctoral Researcher will provide research and implementation leadership in Ethiopia, under the mentorship of Professor Grace Chan, and will work closely with the Boston and Ethiopia teams to oversee study activities. The successful candidate will develop and extend skills in study implementation and supervision, project research design, protocol development, data quality monitoring, quantitative and qualitative data analysis, results dissemination, and will have an opportunity to lead substudies and collaborate on research papers. The successful candidate will also join the HaSET fellowship program, which offers teaching opportunities and partnerships with Ethiopian postdoctoral fellows. The candidate will work closely with the growing Boston and Ethiopia-based research teams comprising program managers, data analysts, field implementers, data system developers, trainees and faculty on the HaSET team.

Basic Qualifications

Doctoral qualification in epidemiology, statistics, public health, or a related field with 2+ years research experience. The ideal candidate will have experience conducting research in global health, particularly in low-and-middle income countries. Desired skills include:

  • Excellent analytical, organizational, and problem-solving skills to ensure high quality data collection, cleaning, and analysis.
  • Knowledge of study design, sampling approaches and sample size estimation, descriptive and advanced statistical methods such as longitudinal data analysis, causal inference methods, complex survey analysis etc.
  • Experience analyzing prospective cohort and health surveillance system data is desired.
  • Experience conducting mixed methods studies and qualitative data collection (e.g. in-depth interviews, focus groups, Delphi methods) is an asset.
  • Experience with scoping and systematic literature reviews (and meta-analysis).
  • Knowledge of STATA and data management (e.g., web-based electronic data capture system such as REDCAP or ODK).
  • Excellent interpersonal and oral and written communication skills.
  • Ability to work independently and as part of a team with collaborators, stakeholders, and research staff.
  • Research experience in global maternal and child health, particularly in East Africa, is an asset.

Additional Qualifications

The position is based in Boston with frequent travel to Ethiopia. Commitment is for one year with the potential for renewal for an additional year.

Special Instructions

Applications should include a cover letter, curriculum vitae, a statement of research, and three references.

Contact Information

Grace Chan

Contact Email

grace.chan@hsph.harvard.edu

Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Minimum Number of References Required

3

Maximum Number of References Allowed

4