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Senior Statistician Levine Cancer Institute-Dept of Biostatistics

This job posting is no longer active.

Charlotte, NC, United States
Job ID: 29706
Job Family: Research Services
Status: Full Time
Shift: Variable
Job Type: Regular
Department Name: 11011036640418-Bio Statistics - LCI


Job Summary

Recommends and implements advanced statistical and computational methodologies to answer questions that further promote the long-term overall success of the organization and the health of our communities. Analyzes large data sets from various sources in order to create predictive models and evaluate trends. Educates and communicates with business users regarding the impact and application of advanced statistical methods to health care data.

Essential Functions

  • Develop statistical designs, power and sample size calculations, and randomization schemes
  • Collaborate with cross-functional to develop case report forms (CRF's) for clinical trials
  • Collaborate with the LCI Data Management and Clinical Trial Monitor Teams on database quality reviews
  • Provide statistical analyses of data from clinical trials and observational studies
  • Collaborate with study teams in support of development of manuscripts, abstracts, posters, presentations, and other data disclosures
  • Develop programs to create high quality tables, listings, and graphs suitable for peer-reviewed publications
  • Provide statistical support to LCI Investigators in support of the preparation of grant applications for external funding
  • Stay current on innovations regarding statistical design and analysis of oncology studies and implement improvements to the Department's activities as appropriate
  • Works with researchers to shape and direct research questions.


Physical Requirements
Works in office environment using office equipment (computers, copiers, etc). Most of day requires sitting.

Education, Experience and Certifications

Master's Degree in Statistics, Biostatistics, or related field required. 5 years professional experience or equivalent combination of education and experience required. Experience with SAS and/or R, databases and computer programming required. Knowledge of research design and terminology required.