Oversee day-to-day operations to ensure efficiency and productivity across all assigned tasks. Develop and implement strategic plans aligned with organizational objectives while fostering a collaborative work environment. Monitor performance metrics to identify areas for improvement and implement solutions to enhance operational effectiveness. Serve as a liaison between departments to facilitate seamless communication and coordination. Ensure compliance with company policies, industry regulations, and quality standards. Manage project timelines, budgets, and resources to deliver results within specified parameters. Lead and mentor teams to drive professional growth and achieve collective goals.
Modeling & Analytics: Duties include creating and applying quantitative models to analyze complex datasets, deriving actionable insights, and supporting data-driven decision-making processes. The role involves collaborating with cross-functional teams to define key performance indicators, validate model assumptions, and ensure alignment with business objectives. Proficiency in statistical analysis, predictive modeling, and proficiency with tools such as Python, R, or SQL is required. Strong communication skills are essential for presenting findings clearly to stakeholders at all levels.
Support the creation, implementation, and refinement of analytical and epidemiological models focused on HIV, malaria, and global health security initiatives, encompassing outbreak detection and scenario analysis.
Perform statistical analyses through the application of standard statistical methods and programming tools to provide support for international health research studies, program assessments, and emergency response initiatives.
Prepare analytical reports and predictive models to enhance situational awareness, evaluate risks, and support informed decision-making throughout outbreak response operations.
Conduct model calibration, validation, and error analysis to assess performance and reliability, followed by the formulation and execution of enhancements aimed at refining predictive accuracy and operational alignment.
Mine and consolidate international data from diverse sources to construct essential indicators, establish calibration benchmarks, and compile analytical datasets, which will be used for strategic planning and performance monitoring.
Facilitate analytical processes integral to monitoring and addressing outbreaks of international significance, encompassing emerging infectious diseases and public health crises.
Evaluate system performance for surveillance and early warning systems, focusing on key metrics such as sensitivity, timeliness, and data completeness.
Data Quality, Validation, and Management: Responsible for maintaining high standards of data accuracy, consistency, and integrity across all systems and processes. Ensures data is validated through rigorous checks and compliance with established protocols. Develops and implements data management strategies to enhance efficiency, reliability, and security. Monitors data flows to identify discrepancies, correct errors, and prevent future issues. Collaborates with cross-functional teams to establish clear data governance policies and ensure adherence to regulatory requirements.
Develop scripts and production tools designed to clean, transform, and validate international health datasets, ensuring they account for variability in data completeness, timeliness, and quality.
Monitor data integrity and identify irregularities that could signify reporting discrepancies, system malfunctions, or early indicators of public health developments.
Conduct regular and as-needed data quality assurance tasks to ensure compliance with surveillance, modeling, and reporting standards.
Oversee or actively participate in data entry, documentation, and the maintenance of programmatic, surveillance, and research databases.
Report, visualize, and communicate data insights effectively to stakeholders at all levels, ensuring clarity and alignment with organizational objectives. Develop and maintain dynamic dashboards, charts, and reports using advanced tools to highlight trends, patterns, and key performance indicators. Translate complex analytical findings into accessible narratives for non-technical audiences, fostering informed decision-making. Collaborate with cross-functional teams to gather requirements, refine deliverables, and ensure the accuracy and relevance of shared information.
Interpret and evaluate surveillance, programmatic, and model outputs, then translate findings into clear technical reports, briefings, and summaries tailored for both internal teams and external stakeholders.
Design tables, figures, maps, and data visualizations using Power BI to effectively convey trends, risks, and analytical insights to diverse audiences—ranging from technical experts to nontechnical stakeholders, including executives and external partners.
Leverage GIS platforms—such as ArcGIS, ArcGIS Online, and CGIS—to create detailed maps and conduct spatial analyses that enhance outbreak detection, strengthen ongoing monitoring efforts, and improve response strategies.
Develop and sustain comprehensive geospatial datasets by consolidating epidemiological, laboratory, and surveillance data pertaining to HIV, malaria, and global health security incidents.
Create static and dynamic maps to illustrate patterns of disease transmission, associated risk factors, health system resources, and the extent of intervention implementation.
Conduct spatial analyses, including clustering, hotspot detection, and proximity analysis, to enhance situational awareness and inform critical decision-making processes during outbreaks of international concern.
Work collaboratively with cross-functional teams to transform geospatial data insights into polished visual representations suitable for reports, executive briefings, and interactive dashboards.
Provide support for both regular and on-demand reporting initiatives focused on HIV, malaria, and global health security programs.
Provide collaborative assistance and strengthen partnerships to enhance organizational outcomes through coordinated efforts and mutual engagement.
Work alongside epidemiologists, technical advisors, and program staff to advance international health initiatives.
Collaborate with external partners, health ministries, and global organizations to facilitate data exchange, analysis, and reporting efforts.
Convey complex technical insights, analytical conclusions, and potential data constraints in a clear and accessible manner to a broad range of stakeholders, particularly division leadership.
Bachelor’s degree in computer science, engineering, or a related field is necessary, along with a minimum of three years of professional experience in software development. Proficiency in multiple programming languages, including Java, Python, or C++, is essential, along with strong problem-solving skills. Excellent communication abilities and a collaborative mindset are also required to thrive in a team-oriented environment.
A bachelor’s degree in Public Health, Epidemiology, Statistics, Biostatistics, or a closely related discipline with a specialized emphasis on global health security is required. Possession of a master’s degree in one of these relevant fields is strongly preferred.
Requires at least seven to eight years of hands-on professional experience in applied data science and analytics, including a minimum of two years dedicated to advanced programming roles.
Proven proficiency and hands-on experience in utilizing GIS to create maps and conduct spatial analyses that enhance outbreak detection, monitoring, and response efforts.
Proficient in transforming intricate data sets into clear, strategic insights and delivering those findings persuasively to diverse stakeholders.
Demonstrates outstanding analytical and problem-solving abilities, coupled with meticulous attention to detail and a steadfast commitment to data precision.
Additional educational attainment may serve as a substitute for the specified experience requirement, while extra relevant professional experience may compensate for the educational prerequisite beyond a high school diploma or its equivalent, provided such substitutions align with the JHU equivalency formula.
Preferred Qualifications include a Bachelor’s degree in a relevant field, such as Computer Science, Engineering, or Information Technology. Additionally, candidates should possess at least three years of hands-on experience in a similar role, demonstrating expertise in project management and technical problem-solving. Proficiency with industry-standard software and tools, along with a proven ability to lead cross-functional teams, is highly desirable. Familiarity with data analysis, system integration, or emerging technologies like AI and cloud computing may provide a competitive advantage. Strong communication skills and a commitment to continuous learning are also essential for success in this position.
A master’s degree in Epidemiology or a related discipline is highly advantageous.
Proficiency in R or Python programming is required, with a demonstrated ability to leverage generative AI tools and adhere to data reproducibility standards such as those facilitated by the tidy verse ecosystem. Additionally, experience in crafting data visualizations using tools like plot and implementing version control systems—particularly Git—is essential.
Proficiency in Microsoft Excel, DHIS2, and Power BI is required.
Technical expertise must encompass data architecture, data management and analysis, data tools and platforms, data validation and quality assurance, statistical modeling, statistical programming, data visualization, geographic information systems, programming languages, and machine learning.
Qualifications
BA/BSc/HND
