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. The 1979 Act established KEMRI as a National body responsible for carrying out health research in Kenya.
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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
Help develop and test experimental designs, sampling techniques, and analytical methods
Participate in developing an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate
Help in evaluating sources of information to determine any limitations in terms of reliability or usability
Contribute to evaluating the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy
Help 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
Help examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data
Support in presentation of statistical and non-statistical results using charts, bullets, and graphs in meetings or conferences to audiences such as clients, peers, and students
Assist in the processing of large amounts of data for statistical modeling and graphic analysis, using computers
Vacancy Requirements:
Bachelor’s Degree in the following fields: Mathematics, statistics, biostatistics, Informatics, Computer Science or equivalent qualification from a recognized Institution.
Proficiency in statistical software application; and
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