Data Scientist - School of Medicine, Radiology
Emory University
- Atlanta, GA
- Permanent
- Full-time
- Works with stakeholders throughout the organization to drive business solutions and are adept at using large data sets and models to test the effectiveness of different courses of action using predictive algorithms.
- They assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Data Scientist is an expert in at least 1 programming language (e.g. R, SAS, Python), has proficiency in statistical theory and underlying mathematical distributions, and expertise in querying relational databases with SQL.
- They have experience with of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and can demonstrate real-world application of these techniques.
- Extract, curate, and maintain large, multi-modal datasets including imaging, pathology, and clinical data.
- Manage project IRBs, reports, and documentation.
- Design and maintains study databases.
- Creates and maintains documentation of new and existing data curation pipelines.
- Contributes to research dissemination materials such as manuscripts and presentations and to research design materials.
- Performs project management or lab management duties according to well-defined specifications.
- May contribute to supervising undergraduate and graduate trainees.
- Master's or PhD in Statistics, Mathematics, Computer Science or another quantitative field and 3 years of relevant experience.
- MS in data science, health informatics, engineering, or computer science.
- Experience with Python, Pandas library, and Database management.
- Experience with EHR databases, including Epic Cosmos and Caboodle.
- Experience creating and manipulating large datasets.
- Familiarity with medical data.
Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.