IE Research Data Manager 1

Jhpiego is seeking to hire a Research Data Manager 1 who will work on the design management and execution of all quantitative monitoring and evaluation (MEL) and methodological components of the Impact Evaluation. The role serves as the technical backbone of the evaluation responsible for ensuring that quantitative findings are valid reproducible and methodologically defensible.

Working closely with the Jhpiego team this role will translate evaluation questions into robust analytical approaches manage quantitative datasets analyze data generate scorecards dashboards and statistical outputs that demonstrate beforeafter change contribution and systems-level impact of C19RM investments.

Consultancy Duration: Short-term consultancy (approximately 40 days)

Quantitative Evaluation Design & Methods

• Lead development of the quantitative evaluation approach including beforeafter and quasi-experimental comparisons where feasible.
• Support refinement of the evaluation framework theory of change and indicator matrix.
• Define sampling strategies inclusion criteria and analytical assumptions for quantitative components.
• Ensure alignment of indicators with C19RM modules national frameworks and donor expectations.

Monitoring Evaluation & Indicator Management

• Serve as the MEL lead for the Impact Evaluation.
• Develop and manage the indicator reference matrix including definitions data sources baselines and comparison points.
• Ensure consistency and traceability of indicators across datasets analysis outputs and reporting.
• Establish and document data quality assurance (DQA) processes including validation triangulation and audit trails.

Data Management & Quality Assurance

• Oversee quantitative data collection workflows and ensure adherence to protocols.
• Lead data cleaning validation and management across multiple sources (routine data program datasets surveys).
• Ensure reproducibility of analyses through well-documented datasets and code.
• Identify and address data gaps biases and limitations in collaboration with the Team Lead.

Statistical Analysis & Evidence Generation

• Conduct or oversee statistical analyses including descriptive analysis trend analysis and comparative assessments.
• Generate quantitative outputs such as:
• Domain-specific scorecards
• Tables and figures
• Dashboards and visual summaries
• Interpret findings in collaboration with the Team Lead and qualitative research lead.
• Clearly articulate strengths limitations and confidence levels of findings.

Collaboration & Technical Support

• Provide technical guidance to Research Supervisors and field teams on quantitative tools and data requirements.
• Work closely with the Qualitative Research Manager to ensure integration and triangulation of findings.
• Support the Team Lead in responding to technical queries during validation and review processes.
• Contribute quantitative inputs to technical briefs and presentations as required.

Contribution to Manuscript Development

• Lead development of quantitative methods sections statistical analyses tables and figures for manuscripts.
• Ensure transparency reproducibility and accurate interpretation of quantitative findings.
• Contribute to results and methods sections and respond to technical reviewer comments related to data and analysis.

Other Duties

• Perform any other duties assigned by the supervisor in line with the Impact Evaluation deliverable.

• Masters degree or higher in Biostatistics Epidemiology Statistics Health Economics Evaluation Science or a closely related quantitative field.
• Minimum of 710 years experience in quantitative research MEL or impact evaluation within health or development programs.
• Demonstrated experience designing and implementing impact or quasi-experimental evaluations.
• Strong experience working with large routine health datasets and programmatic data.
• Proven ability to deliver high-quality analytical outputs under tight timelines.
• Experience with donor-funded programs and national health systems is strongly preferred.

Required Technical Skills & Software Proficiency

Quantitative Analysis & MEL Tools

• Statistical software:
  • STATA (preferred) R SPSS or equivalent
• Data management & analysis:
  • Advanced Microsoft Excel (pivot tables Power Query complex formulas)
• Dashboards & visualization:
  • Power BI Tableau or equivalent (hands-on experience preferred)

Health Information Systems

• Interpretive and analytical experience with:
  • DHIS2
  • Routine surveillance and health management information systems

Documentation & Collaboration

• Microsoft Word (technical documentation and annexes)
• Microsoft PowerPoint (analytical presentations)
• Familiarity with collaborative platforms (SharePoint Teams Google Workspace)

Knowledge Skills & Competencies

• Strong grounding in evaluation methodology and statistical reasoning.
• High attention to data quality documentation and reproducibility.
• Ability to explain complex quantitative findings to non-technical audiences.
• Strong problem-solving and analytical thinking skills. Finish
• Ability to work independently while coordinating closely with senior technical leadership.
• Excellent time management and ability to deliver under pressure.

Key Accountability Statement

The Research Manager I is accountable for the technical accuracy integrity and reproducibility of all quantitative findings generated for the Impact Evaluation. All quantitative evidence must withstand technical scrutiny and support defensible conclusions regarding program impact and contribution.

Jhpiego offers competitive salaries and a comprehensive employee benefits package.

Please apply at must submit a single document for upload to include: cover letter resume and references.

For further information about Jhpiego visit our website at z

Note: The successful candidate selected for this position will be subject to a pre-employment background investigation.

Jhpiego is an Affirmative Action/Equal Opportunity Employer

Jhpiego a Johns Hopkins University affiliate is an equal opportunity employer and does not discriminate on the basis of gender marital status pregnancy race color ethnicity national origin age disability religion sexual orientation gender identity or expression veteran status other legally protected characteristics or any other occupationally irrelevant criteria. Jhpiego promotes Affirmative Action for minorities women individuals who are disabled and veterans.

EEO is the Law

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