Job Posting
:Mar 15, 2026, 8:06:09 AMClosing Date
:Mar 29, 2026, 9:59:00 PMPrimary Location
:Philippines-ManilaOrganization
:WP_PHL PhilippinesSchedule
:Full-time..
Purpose of consultancy
The consultant will provide advanced health statistics and analytics support to WHO Philippines and DOH counterparts, producing fitâforâpurpose data products (factsheets, LGU profiles, visualizations) and analytical reports that strengthen LGUâlevel data use, targeted population estimation, and M&E/HIS decisionâmaking.
Background
Local Government Units (LGUs) generate and use multiple health data streams via national HIS platforms and program registries. As digital tools expand, there is a growing need for robust analytical methods, reproducible workflows, and clear, userâfriendly data products to support planning, monitoring, and service delivery. This consultancy will translate available datasetsâpreâidentified and provided via WHO/DOHâinto practical insights and tools that LGUs and national counterparts can use during and beyond the upcoming Union of Local Authorities of the Philippines (ULAP) Health Summit and routine performance dialogue.
At the same time, strengthening data qualityâespecially denominator estimationâremains a key opportunity to improve the accuracy of indicators such as immunization coverage, antenatal care, skilled birth attendance, etc. Variations among Philippine Statistics Authority (PSA) projections, DOH masterlists, and LGU reports can be significant, affecting coverage calculations and resource allocation. With upcoming campaigns like the MeaslesâRubella SIA, WHO Philippines and DOH will pilot a focused Data Quality Review (DQR) initiative to validate denominator sources, analyze discrepancies, and propose harmonization pathwaysâlaying the groundwork for broader DQRâaligned improvements and supporting LGUâvalidated population masterlists.
This consultancy will help translate available datasets into practical insights, highâquality analytics, and userâfriendly products for national and LGU decision-makers.
Deliverables
Method(s) to carry out the activity
⢠Statistical analysis and modelling (e.g., target population estimation, timeâseries, cohort analysis).
⢠Data wrangling, quality checks, metadata documentation, and reproducible workflows.
⢠Development of clear, decisionâfriendly visualization products.
⢠Contribution to methods briefs, analysis notes, and reproducible code repositories.
Output 1 â Data Products for the ULAP Health Summit
Deliverable 1.1: Develop templates and layout for factsheets, LGU profiles, and visual summaries, agreed with WHO.
Deliverable 1.2: Produce finalized data products (factsheets, profiles, visuals) using datasets provided by WHO/DOH, with clear visualization, metadata, and footnotes.
Deliverable 1.3: Submit a complete reproducible code package (scripts, assets, documentation).
Output 2 â Analytical Report on LGU DataâUse Practices
Deliverable 2.1: Conduct consultations with key stakeholders (e.g., DOH, LGUs, WHO) to validate findings and gather contextual insights on LGU data-use practices. - this is to validate the analysis and recommendations.
Deliverable 2.2: Draft an analytical report synthesizing findings from DOH/WHOâprovided materials (surveys, interviews, documents).
Deliverable 2.3: Provide a structured set of recommendations addressing bottlenecks, duplication points, and opportunities to strengthen dataâuse culture
Output 3 â Target Population Estimation (2 Municipalities)
Deliverable 3.1: Prepare a methodology and analysis plan, including assumptions and data inputs.
Deliverable 3.2: Conduct analysis and produce cleaned scripts and outputs.
Deliverable 3.3: Prepare a short technical report summarizing methods, results, limitations, and recommendations
Output 4 â Data Group Coordination Support
Deliverable 4.1: Provide support in the scheduling, preparation, and coordination of meetings
Deliverable 4.2: Maintain and update coordination trackers, timelines, and followâup activity lists.
Deliverable 4.3: Facilitate stakeholder consultations and feedback sessions with DOH, LGUs, and partners as part of coordination
Qualifications, experience, skills and languages
Educational Qualifications:
Essential: Advanced degree (Masterâs or higher) in Biostatistics, Health Statistics, Epidemiology, Public Health, or a closely related quantitative health field.
Desirable: Additional formal training in data science, statistical modelling, or health informatics. Coursework or certification in data visualization or advanced analytics.
Experience
Essential: Minimum 5 years of progressively responsible experience in health data analysis, statistical modelling, or epidemiological analytics.
⢠Demonstrated experience producing decisionâready data products (factsheets, dashboards, briefs).
⢠Proficiency in R or Python or other similar software, plus experience with SQL and data visualization tools.
Desirable: Experience working with WHO, UN agencies, or government health programs.
⢠Experience applying statistical methods to LGUâlevel or subnational data.
⢠Familiarity with health information systems in the Philippines.
Skills/Knowledge:
⢠Strong analytical and statistical skills.
⢠Ability to communicate complex results to nonâtechnical audiences.
⢠Proficiency in reproducible research workflows and data documentation.
⢠Strong planning and organizational skills.
Languages and level required
Fluent written and spoken English
Location
On site: Manila, Philippines.
Travel
The consultant is expected to travel within the country as needed, with appropriate approvals from his/her supervisors
Remuneration and budget
Remuneration: PHP120,709.80 (monthly)
Expected duration of contract (Maximum contract duration is 11 months per calendar year): 8.5 Months, April 2026 (mid) to December 2026
Additional Information:
⢠This vacancy notice may be used to identify candidates for other similar consultancies at the same level.
⢠Only candidates under serious consideration will be contacted.
⢠A written test may be used as a form of screening.
⢠If your candidature is retained for interview, you will be required to provide, in advance, a scanned copy of the degree(s)/diploma(s)/certificate(s) required for this position. WHO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU)/United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed through the link: http://www.whed.net/. Some professional certificates may not appear in the WHED and will require individual review.
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