Oversee a range of critical tasks, including managing project timelines, coordinating cross-functional teams, and ensuring adherence to quality standards. You will be responsible for analyzing performance metrics, identifying inefficiencies, and implementing strategic improvements to enhance operational efficiency. Additionally, this role requires collaboration with stakeholders to align objectives, resolve issues, and drive project completion within budgetary and time constraints. Strong leadership, analytical skills, and the ability to communicate effectively with diverse teams are essential for success in this position.
We are seeking a skilled professional to join our Modeling & Analytics team, where you will play a pivotal role in driving data-driven insights and solutions. In this capacity, you will develop, refine, and implement advanced analytical models to support strategic decision-making across the organization. Key responsibilities include collecting and analyzing complex datasets, identifying trends, and translating findings into actionable recommendations for stakeholders. Proficiency in statistical analysis, programming languages (e.g., Python, R), and data visualization tools is essential, along with strong problem-solving abilities and a passion for leveraging data to solve real-world challenges. Ideally, you will bring experience in predictive modeling, machine learning, or related fields to enhance our analytical capabilities.
Provide assistance in the creation, implementation, and optimization of analytical and epidemiological models focused on HIV, malaria, and global health security initiatives, encompassing outbreak detection and scenario analysis.
Perform statistical analyses with established statistical and programming methodologies to bolster international health research initiatives, program assessments, and emergency response operations.
Prepare and deliver analytical reports and predictive models to enhance situational understanding, evaluate potential risks, and support informed decision-making throughout outbreak response efforts.
Conduct model calibration, validation, and error analysis while identifying opportunities to enhance predictive accuracy and operational effectiveness, followed by the implementation of recommended improvements.
Mine and aggregate diverse international data sources to construct essential indicators, calibration benchmarks, and analytical datasets, facilitating strategic planning and performance tracking.
Facilitate analytical processes essential to monitoring and responding to outbreaks of international significance, such as emerging infectious diseases and other public health crises.
Evaluate the performance of surveillance and early warning systems by assisting in the assessment of sensitivity, timeliness, and data completeness.
Ensuring high standards of data quality, validation, and management through systematic processes, meticulous oversight, and adherence to established protocols to maintain accuracy, reliability, and integrity across all datasets and information systems.
Create production tools and scripts designed to clean, transform, and validate international health datasets, carefully considering variations in data completeness, timeliness, and quality.
Monitor data integrity vigilantly and identify irregularities that could signal reporting discrepancies, system malfunctions, or potential public health crises.
Conduct both regular and impromptu data quality assurance tasks to meet the demands of surveillance, modeling, and reporting initiatives.
Oversee or assist with data entry, documentation, and stewardship activities for programmatic, surveillance, and research databases.
Reporting, Visualization, and Communication: Craft compelling narratives from data insights, designing visually engaging dashboards and presentations to convey complex information clearly and persuasively to stakeholders at all levels. Translate analytical findings into actionable recommendations, ensuring accessibility for both technical and non-technical audiences through tailored reporting formats. Facilitate transparent data-driven discussions by presenting key metrics, trends, and forecasts in a concise and impactful manner.
Analyze surveillance data, programmatic outputs, and model results, then translate findings into clear technical reports, briefings, and executive summaries for both internal teams and external stakeholders.
Create compelling tables, figures, maps, and Power Bi data visualizations that effectively convey trends, risks, and analytical insights to diverse stakeholders, ranging from leadership teams to external partner organizations.
Employ GIS technologies such as ArcGIS, ArcGIS Online, and CGIS to design and produce maps and conduct spatial analyses that enhance outbreak detection, monitoring, and response efforts.
Develop and oversee geospatial datasets by consolidating epidemiological, laboratory, and surveillance data pertaining to HIV, malaria, and global health security incidents, ensuring accuracy and consistency throughout.
Generate static and dynamic maps to illustrate patterns of disease transmission, identify key risk factors, assess health system capabilities, and evaluate the extent of intervention coverage.
Provide analytical support for spatial assessments, including clustering techniques, hotspot identification, and proximity evaluations, to enhance situational understanding and facilitate informed decision-making during events of international public health significance.
Partner with cross-functional teams to convert geospatial insights into compelling, easy-to-understand visual deliverables tailored for reports, executive briefings, and interactive dashboards.
Provide consistent support for both regular and special reporting initiatives pertaining to HIV, malaria, and global health security programs.
Provide collaborative assistance and facilitate strategic partnerships to enhance organizational effectiveness and growth initiatives.
Work collaboratively with epidemiologists, technical advisors, and program staff to advance international health initiatives.
Collaborate with external partners, governmental health ministries, and global organizations to facilitate data exchange, analysis, and reporting efforts.
Translate intricate technical insights, analytical outcomes, and recognized data constraints into accessible language for a broad range of stakeholders, ensuring alignment with the expectations and priorities of division leadership.
Bachelor’s degree in a relevant field or equivalent professional experience is required. Minimum of three years of direct experience in a similar role is necessary. Proficiency in industry-standard software and tools is expected. Strong analytical and problem-solving skills are essential. Excellent communication and interpersonal abilities are required. Ability to work independently and manage multiple priorities is crucial. Familiarity with relevant regulations and compliance standards is mandatory.
A Bachelor’s degree in Public Health, Epidemiology, Statistics, Biostatistics, or a closely related field with an emphasis on global health security is required. A Master’s degree in a relevant discipline is strongly preferred.
A minimum of seven to eight years of professional experience in applied data science and analytics is required, with a minimum of two years dedicated to advanced programming tasks.
Proven proficiency in applying GIS techniques to create detailed maps and conduct spatial analyses, essential for identifying, tracking, and responding to outbreaks effectively.
Proven capability to distill intricate data into practical, strategic insights and present these findings persuasively to diverse stakeholders.
Possesses strong analytical and problem-solving abilities, coupled with meticulous attention to detail and a commitment to maintaining data accuracy.
Education beyond the high school diploma or equivalent may be considered in place of the required experience, and additional relevant professional experience may fulfill the educational prerequisites, provided such substitutions align with the guidelines established by the JHU equivalency formula.
Preferred Qualifications include a minimum of five years of experience in a relevant field, with at least two years in a leadership or supervisory role. A bachelor’s degree in a related discipline is required, though an advanced degree may provide a competitive advantage. Demonstrated proficiency in project management, data analysis, and stakeholder communication is essential. Candidates should possess strong problem-solving abilities, adaptability to changing priorities, and a track record of driving measurable results. Familiarity with industry-specific software or tools, as well as relevant certifications, will be considered advantageous. Exceptional interpersonal skills and the ability to collaborate effectively across teams are also highly valued.
A master’s degree in Epidemiology or a related discipline will be considered advantageous for this role.
Proficiency in R and/or Python programming is essential, with demonstrated experience leveraging generative AI tools and adhering to best practices for ensuring data reproducibility, such as employing the tidy verse framework. Additionally, strong skills in data visualization—particularly with tools like plot—and version control systems, including git, are required.
Proficiency in Excel, DHIS2, and Power BI is required.
Technical proficiency is expected in 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
