Research data systems
Study design, digital instruments, multi-country field teams, and HFCs that catch errors while collection is still running.
ODK · KoboToolbox · REDCap · HFC · XLSForm
Research Data Systems · Health & Development Programmes
Nichodemus Amollo
I build the data systems and evidence products that make health and development programmes trustworthy.
From field instruments to policy-facing analysis: survey design in low-connectivity settings, high-frequency quality checks, pipelines that hold up under real operations, and decision tools for teams who cannot wait for a perfect spreadsheet. I work best close to the people, programmes, and constraints the data is meant to serve.
Study Design
Survey Systems
ODK / Kobo / REDCap
HFC & Quality
ETL Pipelines
Field Ops Apps
R · Python · SQL
Dashboards
Causal Targeting
Current Work
Health financial diaries systems for 300 households over one year.
HFCs, automated quality workflows, and live field apps for Georgetown gui2de.
8+
Years
3
Countries
300
HH diaries (1 yr)
7
Facilities (thesis)
Expertise
Programme evidence, end to end.
Built for research and delivery teams operating under real field constraints — not classroom demos.
Quality architecture & ops apps
Pipelines, validation layers, and live tools for supervisors — leaderboards, issue feeds, and dashboards on the study database.
SQL · R · Python · Streamlit · Shiny
Analysis & decision products
Mixed methods, biostatistics, and evidence translation for funders, ministries, and programme leadership — including model-to-app targeting tools.
Stata · R · Causal methods · Power BI · Quarto
Process
From field capture to a decision someone can defend.
Five steps. Quality, speed, and trust stay intact under real operations.
Design & instruments
Protocols · ODK · Kobo · REDCap
Scoping, tool digitization, and offline-ready CAPI that set quality before the first interview.
Field teams & HFC
Training · Supervision · Daily QC
Enumerator systems, high-frequency checks, and debriefs that catch errors before they compound.
Pipelines & automation
SQL · R · Python · Validation
Reproducible cleaning and quality layers so analysis does not start from a new spreadsheet firefight every cycle.
Analysis & models
Biostats · Mixed methods · Causal
Descriptive through econometric and causal work that names trade-offs instead of hiding them.
Products & decisions
Dashboards · Shiny · Briefs
Ops apps, policy briefs, and recommender tools that programme teams can actually use.
Selected Work
Real delivery, not demos.
Programme data systems, field apps, and original health systems research. Methods-lab projects live under Projects when you want tooling samples.
Health financial diaries systems
Three hundred households over one year: HFCs, automated quality workflows, an RA leaderboard, and a fuel/issues app that aggregated field problems in real time as data streamed into the study database.
Read case study →
Cash-plus targeting recommender
Shiny decision-support app for IRC field teams. I built the application layer from gui2de causal targeting models so caseworkers can score Cash vs Cash + Network with cost-aware rationale.
Case study & live app →
Financing chronic care in rural Kenya
Seven-facility mixed-methods study on facility decision space, stockouts, and why clinics can diagnose but still fail to sustain hypertension and diabetes care.
Read thesis →Kisumu cancer surveillance dashboard
Research data management for multi-year oncology records: REDCap architecture, quality systems, survival analysis, and a county-facing dashboard launched with local leadership.
Read delivery story →Writing
Field notes worth reading.
Three public pieces that match the work above — research translation, diaries systems, and model-to-field judgement.
When clinics can diagnose but cannot buy medicines
Facility decision space and chronic care, from the BMC Public Health paper.
Read essay →Systems behind a year of health financial diaries
300 households, HFCs, and live ops apps on a streaming study database.
Read note →From field to model
Why domain knowledge still shapes useful targeting and ML systems.
Read note →Tools
Stack used in real delivery.
No skill bars. Tools appear because they shipped something in the field or in analysis — not because of a self-score.
RStataPythonSQLPostgreSQL
ODKKoboToolboxREDCapXLSForm
HFC systemsPower BITableauShinyStreamlit
QuartoR MarkdownDHIS2/KHISGit
Background
Where I have worked and learned.
A track record built through delivery, not just titles: research systems, public health analytics, cross-country fieldwork, and reporting that senior stakeholders can act on.
Experience
Lead Research Data Manager
Georgetown University gui2de · Remote / Kenya
Health financial diaries systems for 300 households over one year (HFCs, automation, live field apps); Shiny application for Re:BUiLD cash-plus targeting with IRC partners.
Senior Statistician and Data Systems Lead
KEMRI · Nairobi and Kisumu
Built integrated health analytics pipelines and survival-analysis workflows for surveillance, decision support, and partner reporting.
Senior Research Data Manager and Evaluation Lead
JOOUST and VLIR UOS · Kenya, Uganda, Rwanda
Coordinated cross-country datasets, supported randomized and quasi-experimental analysis, and trained teams on quality and reproducibility.
Data Analyst and MEL Specialist
LERIS Hub · Kenya and Uganda
Designed monitoring frameworks and data-collection workflows, then delivered policy and donor reporting products for complex programmes.
Education & Certifications
MSc, Epidemiology & Biostatistics
JOOUST · Kenya
Thesis focus on financial determinants of effective hypertension and diabetes care in rural primary facilities.
BSc, Statistics (Honours)
University of Nairobi · Kenya
Second Class Upper Division.
Professional development
Google Data AnalyticsM&E in Global HealthEconomic EvaluationBiomedical Research EthicsCITIAWS Cloud PractitionerAdvanced R
Life Beyond Data
Field, farm & people.
A window into the life that informs the work: communities, land, teams, and the long view behind the numbers.
Goat Farming
KESHO Conference
Community & LabourWhat if we worked together?
Whether you need a research partner, an analyst embedded in your team, or someone to build the M&E system from scratch, I’d like to hear from you.
For teams building better health systems, stronger data infrastructure, and decision-ready evidence that can survive real-world operations.
Nairobi, Kenya. Open to remote and hybrid work, with replies usually within 48 hours.