Senior data analyst school of medicine Atlanta, GA

Discover Your Career at Emory University

Emory University is a leading research university that fosters excellence and attracts world‑class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.

The Senior Data Analyst, Sr. will help develop, optimize, and execute high quality research processes and lead large scale data analysis in computational imaging and artificial intelligence for collaborative projects. The RA-STS is expected to work independently, design and plan projects, oversee collaborations, supervise students and interns, and carry out research activities of assigned projects to completion. The RA-STS will keep the team and principal investigator (PI) informed of research project progress and provide recommendations on experimental design and conduct.

The RA-STS responsibilities include analysis of large radiographic imaging or digital pathology datasets, managing complex databases, conducting advanced data analytics, mapping and generating result summaries and methodological documentation appropriate for the project, testing and developing novel computational approaches as required by various research goals particularly in the field of medical imaging AI research, and contributing to dissemination efforts. Dissemination may involve presenting data and findings at lab and scientific meetings/conferences, seminars, etc.,

preparing manuscripts, and contributing preliminary data analysis and summarization for grant proposals.

• Supports the acquisition, management and analysis of data from multiple sites or sources.
• Supports the configuration and management of technology solutions supporting the receipt, transformation, validation and storage of data.
• Ensures that the uses of data through reports and queries are appropriate.
• Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.
• Develops automated quality control procedures to assess quality of data and provides reports to data owners.