Quantitative Researcher - Kenya at American Institutes for Research

Responsibilities
The responsibilities for the position include:
AIR Is Seeking a Researcher To Lead, Co-lead, Support, And Contribute To The Success Of Our Development Activities, With Responsibilities And Qualifications Listed Below:

• Develop conceptual frameworks that guide project work.
• Manage and analyze large-scale data files for research.
• Apply appropriate quantitative techniques to collect and analyze data.
• Organize and document analytic results and research procedures.
• Prepare technical reports and journal articles and present findings to clients, professional associations, and the public.
• Mentor junior researchers, share approaches to solving concrete problems, and provide feedback on the work of others.
• Manage or lead projects or tasks.
• Serve as client contact for analytical or statistical expertise.
• Contribute to the identification of new business opportunities in the area of international development research
• Support all aspects of new proposal development such as background research, technical writing, budgeting, and identifying in-country research partners.
• Contribute to eminence building by presenting AIR sponsored work at international and regional conferences and workshops, meeting with prospective clients and policy-makers, and publishing policy briefs and academic articles.

Qualifications
Education, Knowledge, and Experience:

• A master’s degree with a minimum of 4 years of experience or a Ph.D. in economics, public policy, or related social science field, with expertise in advanced quantitative methods and modern impact evaluation tools (experimental and quasi-experimental designs).
• Experience living and/or working in Africa.
• Proven track record with international donors, including USAID, UN agencies, and foundations.
• At least one academic publication or technical report.

Skills:

• Highly proficient in STATA, and open to learning new statistical tools as required by different projects (e.g. R, python); proficient in handling and analyzing large data sets, both survey and administrative data.
• Ability to apply advanced statistical methods, and ability to communicate effectively about these methods to non-technical audiences.
• Ability to work independently with limited supervision.
• Strong attention to detail with commitment to accuracy when writing.
• Proficiency in English.
• Proficiency in French or Arabic is a plus but not required.