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Data Analyst - Kisumu

Closing: Jun 11, 2024

This position has expired

Published: May 27, 2024 (25 days ago)

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Job Summary

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Qualifications:

  • Strong academic qualifications in Biostatistics/Statistics or Applied Mathematics as evidenced by possession of at least a Degree from a recognized University
  • At least 4 years’ experience in statistical work at the professional level, preferably in a healthcare setting  
  • Advance level knowledge of statistical software: SAS and/or STATA data management is required  
  • In-depth, comprehensive, and evolving knowledge of statistical and mathematical analysis techniques integrated with computer applications
  • Demonstrated expertise in the following techniques is required: logistic and linear regression, mixed model, longitudinal data analyses, interrupted time series analyses, factor analyses, complex survey sample analyses, survival analyses, missing imputation, bootstrapping 


Responsibilities

Qualifications:

  • Strong academic qualifications in Biostatistics/Statistics or Applied Mathematics as evidenced by possession of at least a Degree from a recognized University
  • At least 4 years’ experience in statistical work at the professional level, preferably in a healthcare setting  
  • Advance level knowledge of statistical software: SAS and/or STATA data management is required  
  • In-depth, comprehensive, and evolving knowledge of statistical and mathematical analysis techniques integrated with computer applications
  • Demonstrated expertise in the following techniques is required: logistic and linear regression, mixed model, longitudinal data analyses, interrupted time series analyses, factor analyses, complex survey sample analyses, survival analyses, missing imputation, bootstrapping 


  • Develop rigorous analysis strategies for abstracts, manuscripts, and program evaluation activities. Authorship as part of these analysis activities.
  • Apply complex statistical techniques and methods in the processing and analysis of data
  • Directly supervise and mentor the Statistician
  • Develop and implement program tracking databases in support of program evaluation activities
  • Organize and direct the study design, data collection, processing, analysis and publication of statistical data on various subject matter relevant to the YIA Oncology study
  • Support investigators to operationalize research goals, refine statistical hypotheses, develop statistical analysis plans and explain statistical implications of results.
  • Merge data across databases and check for data inconsistencies and outliers using STATA
  • Clean and edit complex medical record data for analysis
  • Generate data reports on program activities, both routine and as requested
  • Document methodologies and procedures used in the compilation and analysis of data, as well as data sources and limitations of estimates and guidelines for their use
  • Provide advice on sample size calculation
  • Provide advice on the statistical interpretation and implications of results for program planning and decision-making
  • Prepare tables, figures, results, and statistical methods narratives for abstracts and publications


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