Key Responsibilities:

• Design and oversee statistical analysis plans, study designs, sample size calculations, and advanced analytical methodologies for CHAMPS and related studies.
• Build, validate, and implement statistical and epidemiological models to address complex research, policy, and programmatic questions.
• Oversee the integration, harmonization, and management of large surveillance, clinical, research, and public health datasets.
• Establish quality assurance processes, validate data accuracy and completeness, maintain documentation, and ensure compliance with ethical, privacy, and data protection requirements.
• Perform statistical analyses using R, Stata, Python, and GIS tools, and develop visualizations to support evidence-based decision-making.
• Prepare technical reports, analytical summaries, manuscripts, presentations, and communicate findings to stakeholders, partners, and scientific audiences.
• Provide leadership, mentorship, training, and performance oversight for statisticians, data analysts, and other technical staff.
• Manage statistical activities across multiple projects, review analytical outputs, and collaborate with multidisciplinary and international partners.
• Contribute to research proposal development, identify methodological innovations, and support organizational strategic planning.
• Support and advise on health information systems, interoperability standards, digital health infrastructure, electronic data capture platforms, and geospatial surveillance applications.

Vacancy Requirements:

• At least four 4 years’ relevant work experience.    Mandatory
• Bachelor’s Degree in the following fields: Mathematics, statistics, biostatistics, Informatics, Computer Science or equivalent qualification from a recognized institution    Mandatory
• Master’s Degree in statistics, biostatistics, health statistics, Biometry or equivalent qualification from a recognized Institution will be an added advantage.    Added Advantage
• Proficiency in using statistical software such as R, STATA, Python etc.    Mandatory
• Membership to a professional body where applicable    Mandatory
• Familiarity with data quality assurance concept and data cleaning processes.    Mandatory
• Demonstrated experience in data management and analyst in a health research environment.    Mandatory
• Demonstrated ability to manage large disparate data sets and experience with quantitative analysis.    Mandatory
• Familiarity with database systems and information technologies including cloud server management.    Mandatory
• Proven track record of peer-reviewed publications in health research.    Mandatory
• Training or certification in Health Informatics, Medical Informatics, or a closely related field e.g., graduate coursework, professional certificate, or equivalent demonstrated competency.    Desirable
•  Experience working with Electronic Health Records EHR/EMR systems, Health Management Information Systems HMIS, or integrated public health surveillance platforms e.g., DHIS2, OpenMRS, REDCap.    Desirable
• Familiarity with health data standards and interoperability frameworks, with the ability to apply these in multi-source data integration contexts.    Desirable
• Awareness of health data governance, patient data privacy regulations, and ethical frameworks applicable to health informatics in low- and middle-income country LMIC contexts, including familiarity with national health data policies.    Desirable
• Experience with geospatial health data tools and Geographic Information Systems GIS for epidemiological mapping and spatial analysis of surveillance data e.g., QGIS, ArcGIS, or equivalent.    Desirable
•  Data management skills    Skills & Competencies
• Modelling skills    Skills & Competencies
• Analytical and report writing skills    Skills & Competencies
•  Presentation skills    Skills & Competencies
•  Communication skills    Skills & Competencies
• Interpersonal skills    Skills & Competencies
• Team player    Skills & Competencies