This position designs and implements data analysis pipelines for data science and machine learning / artificial intelligence (AI) to meet specifications of faculty or senior staff either independently or in collaboration with research staff, trainees, and fellows.
KEY RESPONSIBILITIES:
- Uses modern programming languages running on UN*X (Unix-like) operating systems with best practices such as version control, unit tests, and comments.
- Works with sensitive data in secure environments and adheres to legal frameworks that govern the data (e.g., HIPAA-compliance).
- Designs and maintains study databases (including relational databases and data lakes) to satisfy research project needs.
- Creates and maintains documentation of new and existing analysis pipelines to facilitate knowledge transfer.
- Contributes to research dissemination materials such as manuscripts and presentations and to research design materials such as project proposals.
- Performs project management or lab management duties according to well-defined specifications.
- May collaborate with on-premises computing professionals to configure and maintain physical systems, if needed.
- May supervise undergraduate and graduate trainees.
- Performs related responsibilities as required.
MINIMUM QUALIFICATIONS:
- A master's degree OR a bachelor's degree and two years of experience OR six years of experience OR an equivalent combination of education, training, and experience.
- Desired experience includes machine learning, AI, informatics or related experience.
- Preferred degrees include mathematics, statistics, computer science, artificial intelligence, informatics, engineering, or a related field.
NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University location as needed and at times, on short notice. Emory reserves the right to change this status with notice to employee.