Biostatistician/Bioinformatics

The Kenya Medical Research Institute (KEMRI) is a state corporation established through the Science and Technology (Amendment) Act of 1979, which has since been amended to Science, Technology and Innovation Act 2013 as the national body responsible for carrying out health research in Kenya.

Biostatistician/Bioinformatics – Kericho

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:

Mandatory

• Must have a Bachelor’s degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field from an accredited institution;
• Should have at least one year of experience in data processing, management, and analysis within a health or medical research environment;
• Proficient in statistical and data management procedures, including data cleaning, manipulation, summaries, tables, listings, graphical presentations, inferential statistical analysis, and report generation;
• 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;
• Analytical and report writing skills
• Presentation skills
• Good Team player