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:

# Description. Requirement Type 1 At least four (4) years’ relevant work experience. Mandatory 2 Bachelor’s Degree in the following fields: Mathematics, statistics, biostatistics, Informatics, Computer Science or equivalent qualification from a recognized institution Mandatory 3 Master’s Degree in statistics, biostatistics, health statistics, Biometry or equivalent qualification from a recognized Institution will be an added advantage. Added Advantage 4 Proficiency in using statistical software such as R, STATA, Python etc. Mandatory 5 Membership to a professional body where applicable Mandatory 6 Familiarity with data quality assurance concept and data cleaning processes. Mandatory 7 Demonstrated experience in data management and analyst in a health research environment. Mandatory 8 Demonstrated ability to manage large disparate data sets and experience with quantitative analysis. Mandatory 9 Familiarity with database systems and information technologies including cloud server management. Mandatory 10 Proven track record of peer-reviewed publications in health research. Mandatory 11 Training or certification in Health Informatics, Medical Informatics, or a closely related field (e.g., graduate coursework, professional certificate, or equivalent demonstrated competency). Desirable 12 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 13 Familiarity with health data standards and interoperability frameworks, with the ability to apply these in multi-source data integration contexts. Desirable 14 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 15 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 16 Data management skills Skills & Competencies 17 Modelling skills Skills & Competencies 18 Analytical and report writing skills Skills & Competencies 19 Presentation skills Skills & Competencies 20 Communication skills Skills & Competencies 21 Interpersonal skills Skills & Competencies 22 Team player Skills & Competencies