AI Scientist/Engineer II- School of Medicine, BMI

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.

Description

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.

ADDITIONAL RESPONSIBILITIES:

• 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.

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.

Additional Details

Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at [email protected] or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.