Vacancies
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Current Openings
Health Economist
Overview of the Position
NSI is seeking an accomplished, technically versatile Health Economist to provide analytical expertise for NSI research and evaluation initiatives as needed. This role is central to NSI’s mission of generating policy-relevant, decision-grade economic evidence.
The Health Economist will be responsible for designing and executing a multi-methodological programme of economic analyses — spanning implementation costing, willingness-to-pay assessments, institutional financing consensus-building, budget impact modelling, and multi-criteria financing appraisal. The successful candidate will combine deep technical proficiency with strong communication skills, translating complex economic findings into actionable insights for policymakers, donors, and programme implementers.
Reporting directly to the CEO, the Health Economist will operate with a high degree of intellectual independence while maintaining close coordination with project leadership and partner institutions. Delivery on time, within scope, and in full alignment with donor expectations is a non-negotiable standard for this role.
Scope of Work & Key Deliverables
- Implementation Cost Analysis — Conduct a comprehensive, ingredient-based costing study to quantify resources required to introduce and sustain innovative health interventions. Design and administer cost data-collection instruments across public, faith-based, and private facilities. Calculate unit cost estimates at patient, facility, and health system levels, disaggregated by cost drivers. Validate estimates through triangulation with financial records and produce policy-ready benchmarks for national planning documents and budget submissions.
- Patient Willingness-to-Pay Assessment — Estimate demand-side economic value using Discrete Choice Experiment (DCE) methodology. Define and operationalise service attributes (accuracy, provider type, waiting time, distance, cost) informed by qualitative research with ANC users. Administer across a statistically powered, geographically representative sample. Estimate WTP values using conditional or mixed logit models and evaluate distributional implications across income quintiles.
- Institutional Willingness-to-Pay & Financing Consensus — Elicit preferences of institutional payers — government health insurance agencies, state ministries of health, and development partners — using a structured Delphi process. Manage a multidisciplinary expert panel and facilitate multiple rounds to build consensus on priority financing pathways. Produce a consensus statement with ranked financing options and a clear rationale.
- Budget Impact Analysis — Develop dynamic budget impact models to estimate the incremental financial cost of introducing interventions over a defined planning horizon. Construct population-level uptake models; conduct deterministic and probabilistic sensitivity analyses; present outputs in formats suitable for national and sub-national decision-makers, including executive dashboards and interactive scenario tools.
- Financing Model Assessment (MCDA) — Identify and prioritise financing options using a Multi-Criteria Decision Analysis framework. Develop and validate the decision framework with stakeholders; establish criteria weights through a participatory process; score financing options using evidence from previous workstreams and expert elicitation; produce an implementation-oriented policy brief on top-ranked mechanisms.
Cross-Cutting Responsibilities
- Contribute to the design of the overarching research protocol and ensure that all economic analyses adhere to ethical standards, data governance requirements, and applicable regulatory guidelines.
- Collaborate closely with the Biostatistician, Implementation Science Lead, and other technical team members to ensure analytical coherence and data consistency across work packages.
- Support the preparation of progress reports, interim deliverables, and presentations for the Gates Foundation and other project stakeholders.
- Contribute to grant writing, proposal development, and fundraising efforts to grow NSI’s health economics portfolio.
- Represent NSI at technical meetings, workshops, and conferences as required, and actively contribute to knowledge exchange and capacity-building activities.
- Mentor NSI interns and national counterparts in health economics methods, promoting sustainable institutional capacity.
Required Qualifications & Experience
- Education: A doctoral degree (PhD) in Health Economics, Economics, or a closely related discipline is strongly preferred. A master’s degree with demonstrably equivalent research experience and a strong publication record will be considered.
- Technical Expertise: Demonstrable expertise in health technology assessment and economic evaluation including cost-effectiveness analysis, cost-benefit analysis, and budget impact modelling. Proficiency in discrete choice experiment design and analysis with hands-on experience in mixed logit or latent class models. Competence in ingredient-based costing methodologies in LMIC health system contexts. Experience with Delphi consensus methods and MCDA frameworks. Advanced proficiency in R required; Stata, Python, or TreeAge an asset. Ability to develop compelling data visualisations and executive-level summaries.
- Experience: Minimum five (5) years of progressive experience applying health economics methods to real-world problems in sub-Saharan Africa, with specific exposure to the Nigerian health system.
- Sector & Contextual Knowledge: Solid understanding of Nigeria’s MNCHN landscape including key policy frameworks, programme structures, and financing mechanisms. Familiarity with the NHIA, state health insurance schemes, and development partner financing modalities. Experience working with international development organisations, research institutions, or major foundations is a strong advantage.
- Grant Writing & Communication: Demonstrated track record contributing to successful grant applications to bilateral donors, foundations, or multilateral institutions. Exceptional scientific and technical writing skills in English. Experience preparing and publishing peer-reviewed manuscripts is an advantage.
Core Competencies
- Methodological Rigour: A commitment to reproducible, transparent, and pre-registered analytical workflows, with zero tolerance for analytical flexibility that compromises scientific integrity.
- Systems Thinking: Ability to contextualise quantitative findings within the broader health system environment and articulate practical implications for programme and policy decisions.
- Collaborative Orientation: A demonstrated ability to work productively across disciplinary, institutional, and cultural boundaries, contributing actively to a shared team mission.
- Accountability and Delivery: A strong personal ethic of on-time, high-quality delivery and the ability to manage competing priorities independently under pressure.
- Communication and Influence: The capacity to translate complex statistical methods and outputs into clear, compelling narratives that inform and persuade non-specialist decision-makers.
- Commitment to Equity: A genuine commitment to health equity and to ensuring that quantitative work centres the experiences and interests of underserved populations.
Reporting Structure
The Health Economist reports directly to the Chief Executive Officer of NSI. Day-to-day collaboration will occur with other members of the NSI team. The Health Economist is expected to participate in regular project management meetings, provide timely updates on analytical progress, proactively flag emerging risks or methodological challenges, and contribute to consortium-level technical reviews.
All analytical outputs, including statistical analysis plans, datasets, and final reports, must be reviewed and endorsed by the CEO prior to external dissemination. The Health Economist is expected to maintain meticulous documentation of analytical decisions, data sources, code repositories, and model assumptions to support peer review, donor audit, and future replication.
How to Apply
Interested candidates are invited to submit the following documents:
- A current curriculum vitae (CV) of no more than five pages, clearly documenting relevant qualifications and analytical experience.
- A technical statement (no more than 2 pages) articulating the candidate’s proposed approach to one or more of the analytical workstreams described above.
- Two writing samples demonstrating applied health economics work (e.g. evaluation reports, statistical analysis plans, peer-reviewed manuscripts, or technical policy briefs).
- Names and contact details of two professional referees with direct knowledge of the candidate’s technical and analytical competence.
Submit your application package to jobs@nikao-hir.org by 5 June 2026.
NSI is an equal opportunity employer. We actively encourage applications from women, early-career researchers, and candidates from underrepresented groups. Only shortlisted candidates will be contacted.
Data Analyst
Overview of the Position
NSI is looking for a skilled and adaptable Data Analyst to offer technical support for NSI’s research and evaluation projects as required. This position plays a key role in NSI’s goal of producing policy-relevant, decision-quality data.
The Data Analyst will be responsible for supporting the development of mobile data collection tools, managing databases, and generating high-quality datasets for analysis and reporting. The role will involve ensuring data accuracy, integrity, accessibility, and efficient data management processes to support organisational objectives. The successful candidate will combine deep technical proficiency in statistics with strong backend capabilities for tools such as ODK and KoboCollect, among others.
Reporting directly to the CEO, the Data Analyst will operate with a high degree of intellectual independence while maintaining close coordination with project leadership and partner institutions. Delivery on time, within scope, and in full alignment with donor expectations is a non-negotiable standard for this role.
Scope of Work & Key Deliverables
- Mobile Data Collection System Development — Design and develop digital questionnaires using ODK and KoboCollect. Configure skip logic, validation rules, constraints, calculations, and mandatory response fields. Develop multilingual and user-friendly mobile data collection forms. Configure GPS capture, image upload, barcode scanning, timestamps, and metadata collection. Pilot and test all electronic forms before deployment. Deploy finalised forms to field teams and support version control management.
- Database Management & Administration — Develop and maintain structured databases for project data storage and retrieval. Manage data synchronisation from mobile devices to central servers. Ensure secure storage, backup, and recovery of project databases. Develop database dictionaries, codebooks, and metadata documentation. Maintain data confidentiality and access control protocols. Perform regular database quality checks and integrity assessments.
- Data Cleaning, Processing & Dataset Generation — Conduct routine data cleaning and validation checks. Identify and resolve inconsistencies, duplicates, missing values, and logical errors. Generate cleaned datasets in Excel or CSV. Develop automated data cleaning templates and workflows where applicable. Maintain version-controlled master datasets.
- Data Quality Assurance — Develop and implement data quality assurance protocols. Monitor incoming field data for completeness, consistency, and accuracy. Produce daily or weekly data quality reports. Flag suspicious or anomalous submissions for verification. Support field teams with data quality feedback and corrective actions.
- Reporting & Data Visualisation — Generate periodic analytical summaries and dashboards. Produce tables, charts, and visualisations for management reporting. Support preparation of donor and programme performance reports. Develop automated reporting templates where applicable.
- Technical Support & Capacity Building — Train field staff and programme teams on the use of ODK Collect and KoboCollect. Develop mobile data collection protocols and data synchronisation procedures. Develop user guides and standard operating procedures (SOPs). Provide technical support during field data collection exercises.
Cross-Cutting Responsibilities
- Contribute to the design of the overarching research protocol and ensure that all data collection procedures adhere to ethical standards, data governance requirements, and applicable regulatory guidelines.
- Collaborate closely with the Biostatistician, Health Economist, Implementation Science Lead, and other technical team members to ensure analytical coherence and data consistency across work packages.
- Support the preparation of progress reports, interim deliverables, and presentations for the Gates Foundation and other project stakeholders.
- Contribute to grant writing, proposal development, and fundraising efforts to grow NSI’s portfolio.
- Mentor NSI interns and national counterparts in quality data collection, promoting sustainable institutional capacity.
Required Qualifications & Experience
- Education: A master’s degree in public health, epidemiology, statistics, data science, computer science, economics, or a closely related discipline is strongly preferred. A doctoral degree is an advantage. A bachelor’s degree with demonstrably equivalent experience using ODK and KoboCollect will be considered.
- Technical Expertise: Demonstrable expertise in quantitative data collection, including surveys and economic assessments such as cost-effectiveness analysis, cost-benefit analysis, and budget impact modelling. Proficiency in design and development of data collection tools using ODK and KoboCollect, with hands-on experience supporting field data collection in real time. Advanced proficiency in Excel required; familiarity with Stata, Python, or R is an asset. Ability to develop clear, compelling data visualisations and executive-level summaries of complex quantitative findings.
- Experience: Minimum three (3) years of progressive experience supporting data collection in the Nigerian health system.
- Sector & Contextual Knowledge: Solid understanding of Nigeria’s MNCHN landscape including key indicators, programme structures, and financing mechanisms. Familiarity with health financing architecture including the NHIA, state health insurance schemes, and development partner financing modalities. Experience working with international development organisations, research institutions, or major foundations is a strong advantage.
Core Competencies
- Methodological Rigour: A commitment to reproducible, transparent, and pre-registered analytical workflows, with zero tolerance for analytical flexibility that compromises scientific integrity.
- Systems Thinking: Ability to contextualise quantitative findings within the broader health system environment and to articulate the practical implications of statistical outputs for programme and policy decisions.
- Collaborative Orientation: A demonstrated ability to work productively across disciplinary, institutional, and cultural boundaries, contributing actively to a shared team mission.
- Accountability and Delivery: A strong personal ethic of on-time, high-quality delivery and the ability to manage competing priorities independently under pressure.
- Communication and Influence: The capacity to translate complex statistical methods and outputs into clear, compelling narratives that inform and persuade non-specialist decision-makers.
- Commitment to Equity: A genuine commitment to health equity and to ensuring that quantitative work centres the experiences and interests of underserved populations.
Reporting Structure
The Data Analyst reports directly to the Chief Executive Officer of NSI. Day-to-day collaboration will occur with other members of the NSI team. The Data Analyst is expected to participate in regular project management meetings, provide timely data updates, proactively flag emerging risks or methodological challenges, and contribute to consortium-level technical reviews.
All analytical outputs, including statistical analysis plans, datasets, and final reports, must be reviewed and endorsed by the CEO prior to external dissemination. The Data Analyst is expected to maintain meticulous documentation of datasets and the codebook to support peer review, donor audits, and future replication.
How to Apply
Interested candidates are invited to submit the following documents:
- A current curriculum vitae (CV) of no more than five pages, clearly documenting relevant qualifications and analytical experience.
- A technical statement (no more than 2 pages) articulating the candidate’s previous projects aligned with the scope of work described above.
- Names and contact details of two professional referees with direct knowledge of the candidate’s technical and analytical competence.
Submit your application package to jobs@nikao-hir.org by 5 June 2026.
NSI is an equal opportunity employer. We actively encourage applications from women, early-career researchers, and candidates from underrepresented groups. Only shortlisted candidates will be contacted.
Expression of Interest
Don’t see the right role?
We are always interested in hearing from exceptional candidates — researchers, economists, public health specialists, and programme managers — who are passionate about health system transformation. Send us your CV and a short note on how you could contribute.