The data programmer must have a degree in computer science, information technology, statistics, or a related field, and at least five years of experience building mobile data collection systems such as KoboToolbox or ODK, relational databases using SQL, and dashboards such as Power BI or Looker Studio.
The statistician must have a Master's degree in statistics, biostatistics, epidemiology, or a related field, and at least five years of experience in survey sampling and analysis of household, school, or farm surveys using Stata, R, or SPSS.
Working knowledge of the Data Privacy Act of 2012 and secure data management practices is required.
Responsibilities
Design, build, and maintain an integrated digital MEL system, including offline-capable mobile data collection forms, a central database with unique-ID registries, and interactive dashboards covering the project's six impact categories.
Provide statistical design and analysis support for baseline, midline, and endline assessments, including sampling and sample size, data cleaning and validation, derived indicators, and datasets and tables for reporting.
Ensure data quality and security, comply with the Data Privacy Act, and hand over a sustainable, documented system to IIRR and its partners.
Map indicators with the IIRR MEL team and partners, and prepare indicator reference sheets and a data dictionary for all project indicators.
Program mobile data collection forms in KoboToolbox (XLSForm) with validation logic, skip patterns, GPS capture, and offline synchronization, and configure the 20 project tablets.
Build the project database with unique IDs for farmers, learners (pseudonymized), schools, kitchens, and suppliers, and link procurement transactions to the verified supplier registry.
Develop interactive dashboards for routine monitoring of monthly sourcing compliance, kitchen operations per feeding cycle, attendance, and quarterly farmer income and GEDSI monitoring.
Train data stewards, field technicians, and enumerators, and prepare a user manual.
Run quarterly data quality checks and validation with the IIRR MEL team, and provide feedback to data collectors.
Prepare sampling designs and sample sizes for the school, household, and farmer surveys with TORs 1–3; draft statistical analysis plans; clean and merge data; compute derived variables such as WHO AnthroPlus z-scores, GDQS, KAP scores, and income measures; run baseline–midline–endline comparisons with appropriate significance tests and disaggregation; and produce tables for interim and final reports.
Prepare anonymized datasets and codebooks, archive data securely, and hand over the system with documentation and training to IIRR and its partners.
Desired Qualifications
Experience handling anthropometric and dietary data, such as WHO AnthroPlus, is an advantage.
Experience supporting MEL systems for development projects, preferably in agriculture, nutrition, or education.
General Description
We are seeking a service provider or individual with combined data programming and statistical skills to build and maintain the LLRSM digital MEL system and to provide statistical support to the research and MEL team. This role will be home-based, with fieldwork in Guinayangan, Quezon.
Specific objectives:
Design, build, and maintain an integrated digital MEL system. It will include mobile data collection forms that work offline, a central database with unique-ID registries for farmers, schools, kitchens, and suppliers, and interactive dashboards covering the project's six impact categories.
Provide statistical design and analysis support for the baseline, midline, and endline assessments: sampling and sample size, data cleaning and validation, derived indicators, and datasets and tables for reporting.
Ensure data quality and security and compliance with the Data Privacy Act, and hand over a sustainable, documented system to IIRR and its partners.
Scope of Work and Activities:
The main activities of the consultant will include:
Map indicators with the IIRR MEL team and partners, and prepare indicator reference sheets and a data dictionary for all project indicators.
Program mobile data collection forms in KoboToolbox (XLSForm) with validation logic, skip patterns, GPS capture, and offline synchronization, and configure the 20 project tablets.
Build the project database with unique IDs for farmers, learners (pseudonymized), schools, kitchens, and suppliers, linking procurement transactions to the verified supplier registry.
Develop interactive dashboards for routine monitoring: monthly sourcing compliance, kitchen operations per feeding cycle, attendance, and quarterly farmer income and GEDSI monitoring.
Train data stewards, field technicians, and enumerators, and prepare a user manual.
Run quarterly data quality checks and validation with the IIRR MEL team, and give feedback to data collectors.
As statistician: prepare the sampling design and sample sizes for the school, household, and farmer surveys with TORs 1–3; draft statistical analysis plans; clean and merge data; compute derived variables (e.g., WHO AnthroPlus z-scores, GDQS, KAP scores, income measures); run baseline–midline–endline comparisons with appropriate significance tests and disaggregation; and produce tables for the interim and final reports.
Prepare anonymized datasets and codebooks, archive the data securely, and hand over the system with documentation and training to IIRR and partners.
Requirements:
Data programmer: a degree in computer science, IT, statistics, or a related field, with at least 5 years of experience building mobile data collection systems (KoboToolbox, ODK, or similar), relational databases (SQL), and dashboards (Power BI, Looker Studio, or similar).
Statistician: a Master's degree in statistics, biostatistics, epidemiology, or a related field, with at least 5 years of experience in survey sampling and the analysis of household, school, or farm surveys using Stata, R, or SPSS.
Experience handling anthropometric and dietary data (e.g., WHO AnthroPlus) is an advantage.
Working knowledge of the Data Privacy Act of 2012 and of secure data management practices.
Experience supporting MEL systems for development projects, preferably in agriculture, nutrition, or education.
Interested applicants who meet the above job criteria are invited to submit the following requirements through the application portal at iirr.applytojob.com/apply:
Cover Letter (1–2 pages) summarizing key competencies and skills relevant to the position
Curriculum Vitae (3–5 pages)
Contact Information (telephone number and email address)
Three Character References, including addresses and contact email addresses/phone numbers
The closing date for applications is 15 November 2026 or until a suitable candidate is identified.
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