Senior Biostatistician

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