Biostatistician/Bioinformatics - Kericho at Kenya Medical Research - KEMRI

Key Responsibilities:

• Contribute to designing research projects that apply valid scientific techniques and use information obtained from baselines or historical data to structure uncompromised and efficient analyses;
• Assist in planning data collection methods for specific projects and determine the types and sizes of sample groups to be used;
• Assist in adapting statistical methods to solve specific problems in biomedicine and other relevant fields;
• Develop and test experimental designs, sampling techniques, and analytical methods;
• Provide support for analysis and interpretation of statistical data to identify significant differences in relationships among sources of information;
• Participate in developing an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate;
• Evaluate sources of information to determine any limitations in terms of reliability or usability;
• Identify relationships and trends in data, as well as any factors that could affect the results of research;
• Participate in preparing data for processing by organizing information, checking for any inaccuracies, and adjusting and weighting the raw data;
• Contribute to reporting results of statistical analyses, including information in the form of graphs, charts, and tables

Vacancy Requirements:

• Must have a Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field from an accredited institution;    Mandatory
• Should have at least one year of experience in data processing, management, and analysis within a health or medical research environment;    Mandatory
• Proficient in statistical and data management procedures, including data cleaning, manipulation, summaries, tables, listings, graphical presentations, inferential statistical analysis, and report generation;    Mandatory
• Experience with at least one statistical software package (e.g., STATA, SPSS, SAS,R) and one database management system (e.g., SQL Server, MS Access) will be an added advantage;    Mandatory
• Analytical and report writing skills    Mandatory
• Good Team player    Mandatory