Key Responsibilities:
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
Vacancy Requirements:
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
Fluency in English
How To Apply
