JOB DETAILS:
Duties and Responsibilities
• To undertake high quality research including conducting and advising on quantitative techniques in impact evaluation, process evaluations, scoping studies, systematic reviews and evidence gap maps across a range of sectors but with particular emphasis on health, ecosystem services, agriculture and climate change adaptation.
• Working alongside the principal investigators to lead/assist in the management of field work, field data collection and ensure secure storage of information and data

• To contribute to development of the program’s monitoring and evaluation framework and Theory of Change, and to develop and implement appropriate methods of data collection, analysis and reporting
• To contribute to peer-reviewed publications, policy reports and other output, according to publication and authorship guidelines.

• To lead on new methods and/or development of innovative research topics and study designs including but not limited to capacity¬building, evaluation methods, database development, evidence uptake and use.

Profile
Qualifications
A postgraduate degree in public health, ecosystem services or climate change adaptation, or other relevant area that includes that includes advanced training in statistics, econometrics, experimental and quasi-experimental methods.

Skills
• Advance use of statistical software (R, Stata, SAS or other equivalent)
• Contributions to written output, preferably peer-reviewed articles

• Proven ability to work independently, as well as collaboratively as part of a dynamic research team
• Proven ability to meet research deadlines
• Evidence of excellent interpersonal skills, including the ability to communicate effectively both orally and in writing in English and Kiswahili.
• Evidence of good organizational skills, including effective time management

Experience
• Relevant experience and in-depth knowledge of experimental and quasi-experimental methods applied in impact evaluation for research purposes
• Experience conducting, managing and quality-assuring data collection activities

Desirable criteria
• Some experience of contributing to research grant applications.
• Some experience of teaching and assessment and in developing teaching/educational resources

• Some experience of supervising and supporting junior researchers and/or research degree students, and non-academic staff.