Statistician - Senior
This job posting is no longer active.
Charlotte, NC, United States
Job ID: 128797
Job Family: Research Services
Status: Full Time
Shift: Day
Detailed Shift and Schedule: 1st shift, 8a-5p EST, Monday - Friday
Job Type: Regular
Department Name: 51011028342573-IAS Clinical Analytics and Clinical Quality Informatics
Overview
Position will focus on Infection Prevention
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
- Uses advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve the quality, patient experience, and cost of healthcare.
- Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
- Monitors and analyzes complex systems to understand, diagnose, and continuously improve key performance indicators.
- Assists with the design of research protocols including sample size calculations and randomization.
- Writes statistical methodology and results for technical reports and publications. Develops metrics and scorecards.
- Provides data and analyses for the preparation of grants for outside funding, and assists as appropriate with the preparation of proposals.
- Manipulates, combines, and refines large databases to produce information suitable for analysis.
- Creates graphics for data visualization and information display.
- 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.
