Develop and implement research and innovation ideas that support PxD’s programs.
Serve as a co-investigator or Principal Investigator (PI) on research projects to establish design, guide approach, and substantially contribute to fundraising for research and innovation.
Apply foundational knowledge of the development economics and behavioral science literature to PxD's work to situate research questions, conceptualize problems, interpret the findings, and identify opportunities to generate impacts for the poor.
Develop feasible research designs and plans, including identifying risks/threats to the quality of research and ways to mitigate them; assess tradeoffs between rigor/quality, costs, and operational constraints in research designs.
Provide technical feedback, advice, and recommendations on PxD’s programs and external communication materials; guide Research Managers/Associates to ensure PxD maintains the standards for the appropriate use of evidence.
Use foundational econometrics skills to conduct complex empirical data analysis and design impact evaluations.
Lead academic research grant proposals, impact evaluation proposals, and pre-analysis plans; contribute to innovations and program funding proposals
Co-author journal articles, working papers, and policy briefs.
Ensure that research projects maintain the standards for technical appropriateness, adherence to rigorous research methodology, and data quality standards.
Responsible for IRB protocol adherence for specific projects for which they serve as PI.
Present research internally and externally and represent PxD at relevant outreach events.
Provide mentorship, guidance, and technical oversight to research staff and country teams to design and carry out research projects (no direct supervision)
Requirements
PhD in economics, agricultural economics, public policy, or related field.
Deep familiarity with relevant literature, such as development economics, agricultural economics, experimental methodologies, behavioral sciences, and/or remote sensing
Experience with action research and/or field experiments in LMICs beyond academic experience during the course of the PhD.
Experience collecting primary data in LMICs
Excellent knowledge of Stata or R, or similar software for data analysis.
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