Under general direction and with latitude for independent judgment and initiative, the successful candidate will serve as a critical resource for the Department of Biostatistics & Computational Biology, providing direct biostatistics analysis support, consultation, statistical programming, and data management to the Wilmot Cancer Institute for cancer research studies. The candidate will be a part of the Institute's Biostatistics Shared Resource, working collaboratively with faculty and staff in support of clinical trial and other relevant research projects in the conduct of translational and clinical research studies.
(1) The candidate will provide support to study investigators through consultation and collaboration in the development and implementation of both randomized and observational study designs, analysis/evaluation of study endpoints for appropriate statistical methods, and where required, calculation and justification for study sample size (power analysis).
(2) The candidate will prepare study analysis plans and perform periodic reporting and analyses as warranted by the study guidelines. The candidate will create specialized reports related to studies based on parameters provided by study researchers as warranted.
(3) The candidate will clearly present statistical methods, results, and conclusions to study teams of multi-disciplinary investigators, and materially participate in the analysis and writing phases of relevant statistical sections of peer-reviewed research manuscripts and extramural grant proposals.
(4) The candidate will perform data analysis, such as univariate descriptive statistics, testing group differences, fitting generalized linear and mixed effects models, checking model assumptions, creating summary tables and plots.
(5) The candidate will provide statistical programming in SAS or R, working with large databases of different formats to combine and transform them into analysis datasets and will maintain codebooks and documentation of all dataset activities.
(6) The candidate will work with Bio-Lab Informatics Server (BLIS) team members as well as experimental and clinical collaborators to plan, implement, coordinate, operate, and evaluate a study protocol for retrieving and storing data.
(7) The candidate will develop and implement standard quality and logic checks to validate data accuracy; and work with research clinic and labs to correct data errors and maintain documentation in database for easy referencing to ensure consistency in the decision making process.
(8) The candidate will provide statistical support on Dr. Friedberg's R01 titled "Vitamin D and Follicular Lymphoma".
REQUIREMENTS: A master's degree in Statistics or Biostatistics or Medical Statistics, or an advanced degree in a related discipline, is required. At least 5 years of related experience in managing, merging, and analyzing data, statistical consultation and project management experience preferred. Prior experience in cancer-related research is preferred. Proficiency in statistical analyses and a strong background in SAS or R statistical programming is required. Experience with MS Excel, and other statistical programing packages is preferred. Excellent written and verbal communication skills and ability to both work autonomously and to interact with an interdisciplinary team of investigators and staff of all levels in a professional manner is required.
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