Senior Biostatistician

Senior Biostatistician and Data Manager

We are seeking an experienced and highly skilled Biostatistician and Data Manager to lead statistical analysis, data management, and analytical innovation for CHAMPS and related studies. This role involves designing study protocols, managing large-scale health datasets, mentoring technical staff, and collaborating with multidisciplinary partners to produce evidence for policy and programmatic decisions.

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.

Qualifications

Education

• Mandatory: Bachelor’s Degree in Mathematics, Statistics, Biostatistics, Informatics, Computer Science, or an equivalent qualification from a recognized institution.
• Added Advantage: Master’s Degree in Statistics, Biostatistics, Health Statistics, Biometry, or an equivalent qualification from a recognized institution.

Experience

• Mandatory: At least four (4) years of relevant work experience.
• Mandatory: Demonstrated experience in data management and analysis within a health research environment.
• Mandatory: Demonstrated ability to manage large disparate data sets and experience with quantitative analysis.
• Mandatory: Proven track record of peer-reviewed publications in health research.

Technical Skills

• Mandatory: Proficiency in using statistical software such as R, Stata, Python, or equivalent.
• Mandatory: Familiarity with data quality assurance concepts and data cleaning processes.
• Mandatory: Familiarity with database systems and information technologies, including cloud server management.
• Mandatory: Membership in a professional body where applicable.

Desirable

• Training or certification in Health Informatics, Medical Informatics, or a closely related field (e.g., graduate coursework, professional certificate, or equivalent demonstrated competency).
• 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).
• Familiarity with health data standards and interoperability frameworks, with the ability to apply these in multi-source data integration contexts.
• 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.
• 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).

Skills & Competencies

• Data management skills
• Modelling skills
• Analytical and report writing skills
• Presentation skills
• Communication skills
• Interpersonal skills
• Team player