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Postdoctoral Fellowship
Harvard University in Cambridge, Massachusetts
 
 
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Date Posted 09/17/2021
Category
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled
 
 
 
 
 

Title Postdoctoral Fellowship
School Harvard T.H. Chan School of Public Health
Department/Area Global Health and Population (GHP)
Position Description
Professors Kevin Croke and Margaret Kruk are seeking a highly-motivated and capable postdoctoral researcher with an interest in inter-disciplinary quantitative research and maternal and child health. The successful candidate will work on research and activities to support the evaluation of Service Delivery Resign for Maternal and Child Health in Kakamega County, and the Quality Evidence for Health System Transformation (QuEST) Network. 
 
The Service Delivery Redesign for Maternal Health evaluation: Kakamega County in western Kenya (population 2 million) plans to pilot a policy to address quality gaps in maternal and newborn care through a policy called “Service Delivery Redesign for Maternal Health.” A team of researchers led by Prof. Kevin Croke will leverage the phased rollout of the reform to assess the program’s effect on health outcomes, while also conducting a process evaluation of SDR implementation. 
 
The Quality Evidence for Health System Transformation (QuEST) Network: QuEST is an initiative building from the work of the Lancet Global Health Commission on High quality Health Systems. The QuEST Network, coordinated at Harvard T.H. Chan School of Public Health, will work with country governments and global partners to design and test future health system models and measures. 
Overview of Role: 
• Contribute to the development and implementation of the SDR evaluation by: 
o Developing survey tools and research protocols 
o Supporting implementation of large scale household and facility surveys, including through field visits (when possible) and remote data quality support 
o Liaising with implementing partners to ensure coordination between implementation and research teams 
o Drafting progress reports and grant applications 
o Analyzing household and facility survey and administrative data 
o Drafting manuscripts for publication 
• Contribute to QuEST Network research initiatives 
o Support the development, fielding and analysis of People’s Voice Survey and E-cohort survey tools 
o Support country partners in data collection for Service Delivery Redesign feasibility assessments 
o Support data analysis, publication, translation and dissemination activities for the above and related projects 
o Promote effective and equitable research collaborations with partners in the US and other countries through analytic support, training, and mentorship as needed 
 
The starting date is Spring 2022. The position is based in Boston. The appointment is for a one-year period, with expected renewal for up to 3 additional years based upon satisfactory performance.
Basic Qualifications
Applicants should have a PhD/doctoral degree in public health, epidemiology, public policy, economics, or an equivalent area. 
Candidates should have the following: 
• Experience with maternal and child health policy in developing countries 
• Previous experience in working with government or NGO counterparts on policy development or implementation 
• Advanced proficiency with statistical software (Stata or R) 
• Experience with survey design and implementation
Additional Qualifications
Special Instructions
To apply, please submit a cover letter, CV, and three letters of reference through the ARIES application system.
Contact Information
Administrative questions regarding this position can be sent to Kaitlin Coulter at kcoulter@hsph.harvard.edu.
Contact Email kcoulter@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, sexual orientation, gender identity, national origin, disability status, protected veteran status, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required 3
Maximum Number of References Allowed 5

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