Associate, Data Science

Clinton Health Access Initiative, Inc.

. Lead advanced descriptive, predictive, and inferential analyses across clinical, surveillance, and health systems datasets .

Posted 9/17/2026full-timeKigali • RwandaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in advanced analytics, predictive modeling, and statistical methods to drive decision-making in public health. Proficient in data visualization and mentoring teams while ensuring compliance with health data governance and ethical standards.

Highest-signal resume keywords

Predictive ModelingStatistical MethodsData VisualizationPython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical MethodsData VisualizationRegression AnalysisClassificationClusteringExperimental DesignForecastingFeature EngineeringData Quality Frameworks

Soft Skills

TeamworkCommunicationMentoringCreative Problem-SolvingLeadership

Tools & Technologies

PythonRSQLEMRsHMISLMISSurveillance PlatformsETL ToolsPublic Health DashboardsData Documentation

Industry Keywords

Health Data GovernanceEpidemiologyHealth InformaticsData SciencePublic HealthOperational AnalyticsDisease SurveillanceRisk StratificationData Science DeliverablesPolicy Briefs

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Lead advanced descriptive, predictive, and inferential analyses across clinical, surveillance, and health systems datasets
Develop and validate predictive models, risk stratification algorithms, forecasting models, epidemiological analytics, and operational analytics
Apply statistical methods, hypothesis testing, and causal inference techniques to support decision-making
Ensure analytics are clinically interpretable, policy-relevant, and scientifically defensible
Design feature engineering pipelines from EMRs, HMIS, LMIS, and surveillance platforms
Support AI Engineers with training datasets, feature selection, bias detection, and data representativeness testing
Contribute to machine learning models involving tabular health data, time-series forecasting, and population-level risk prediction
Lead data quality frameworks, audits, outlier detection, bias analysis, and missing-data analysis
Ensure compliance with national health data governance, privacy, and ethical data-use policies
Maintain data documentation, metadata standards, and lineage tracking
Develop decision-support analytics and public health dashboards for disease burden tracking, resource allocation, and service delivery optimization
Translate analytical outputs into policy briefs, executive dashboards, and technical reports
Work with data engineers, integration teams, and AI engineers to ensure analytics assets are scalable, reproducible, and production-ready
Support data pipeline optimization, ETL quality validation, and real-time and batch processing readiness
Mentor junior data scientists and analysts
Lead analytics communities of practice, code reviews, and methodology workshops
Review analytics protocols, research designs, and data science deliverables
Propose innovative analytics and data science use cases for public health, service delivery, health financing, pharmaceutical supply chains, logistics, and disease surveillance

Requirements

What you’ll need

M.Sc. degree in a relevant discipline (Data Science, Applied Mathematics, Actuarial Science, Operations Research, Statistics, Epidemiology, or Health Informatics)
5–8 years of professional experience in advanced analytics and/or applied statistics, preferably with Data Science applications
Solid mathematical foundation and knowledge of statistical methods, including regression, classification, clustering, experimental design, modelling, and advanced forecasting
Experience working with large-scale datasets in regulated data environments, preferably within a health domain
Strong proficiency in data visualization
Demonstrated experience with Python, R, and SQL
Experience working with structured, semi-structured, and unstructured datasets
Ability to focus on vaguely defined problems and apply creative approaches
Strong teamwork skills
Excellent written and verbal communication skills for coordinating across teams
Ability to mentor and lead teams in a fast-paced and changing environment
CV maximum 3 pages
Letter of interest maximum 1 page

Benefits

Comp & perks

Equal employment opportunities in a fair and mutually respectful environment
Diverse and inclusive workplace
Opportunity to work on national-scale public health and health systems initiatives
Mentorship and capacity-building opportunities
Participation in analytics communities of practice, code reviews, and methodology workshops