Key Responsibilities:

• Collect, clean, and organize data from multiple sources, including clinical records, laboratory results, and environmental samples.
• Ensure the integrity and accuracy of data by conducting regular quality checks.
• Perform statistical analyses to identify patterns, correlations, and trends related to the spread of infectious diseases.
• Analyze genomic data from pathogen DNA to determine resistance patterns and identify emerging or re-emerging pathogens.
• Develop predictive models to assess risk factors for disease transmission in different regions.
• Create detailed reports and presentations to communicate findings to the reseal’ch team, health officials, and other stakeholders.
• Develop visualizations to effectively present complex data in an understandable format for non-technical audiences.
• Contribute to academic publications and conference presentations based on the study’s findings.
• Work closely with epidemiologists, laboratory scientists, and field researchers to ensure data is accurately collected and analyzed.

Vacancy Requirements:

• Be in possession of BSc. Mathematics/Statistics/Biostatistics/Data Science or any related course from a recognized institution.    Mandatory
• Be familiar with conducting extensive literature reviews.    Mandatory
• Strong statistical and data analysis skills, particularly in handling large datasets.    Mandatory
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools (e.g., Tableau, Power Bl).    Mandatory
• Experience with programming languages such as Python or R.    Mandatory
• Knowledge of bioinformatics or experience in analyzing genomic data is an advantage.    Added Advantage
• Understanding of epidemiological principles and public health research methodologies.    Mandatory