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