Data Scientist - School of Medicine, Pathology at Emory University

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

11 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Data Analysis, Optimization, Clinical Outcomes Improvement, Business Strategy, Predictive Algorithms, Machine Learning Techniques, Statistical Theory, Relational Databases, SQL, R, SAS, Python

Industry

Higher Education

Description

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 JOB DESCRIPTION: Data Scientist is responsible for mining and analyzing data from various internal and external data sources to drive optimization and improvement of operations, clinical outcomes, and business strategies. 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. MINIMUM QUALIFICATIONS: Master's or PhD in Statistics, Mathematics, Computer Science or another quantitative field and 3 years of relevant experience. NOTE: Tasks related to this position can be performed remotely with only occasional visits to an Emory University location. Eastern (EST) time zone business hours may apply. Emory reserves the right to change this status with notice to employee. Emory does not approve as a primary work location in the following states; NJ, AK, and HI, any U.S. Territories or outside of the United States. 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 accessibility@emory.edu 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.

Responsibilities

The Data Scientist will be responsible for mining and analyzing data from various internal and external sources to drive the optimization and improvement of operations, clinical outcomes, and business strategies. They will work with stakeholders to develop business solutions using large datasets and models to test effectiveness via predictive algorithms.