Between June 14, 2025, and July 1, 2025 Atrium Health is transitioning to a new application platform to enhance efficiency and effectiveness of our hiring processes. To ensure a smooth transition and data integrity during this transition we have temporarily limited the number of job postings on the career website.
While active job postings may be reduced during this phase, it is important to note that Atrium Health remains committed to engaging with and attracting top talent. We encourage interested candidates to proactively connect with us by joining one of our established talent communities. Moreover, we will continue hosting in-person and virtual events, offering unique platforms for potential candidates to interact with Atrium Health representatives, learn about our career paths, and gain a deeper understanding of our mission and values.
This job posting is no longer active.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
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.