September 16, 2024

UAB Medicine

Birmingham

Healthcare Data Scientist - Enterprise

Compensation:
Pay Range: $104,045 - $169,075/year

Benefits available for eligible positions include: 100% tuition assistance, wellness initiatives, generous paid time off, paid parental leave, Public Service Loan Forgiveness Program eligible employer, plus more. In addition to our many benefits and perks, UAB Medicine provides a variety of resources to support employees both personally and professionally.

Job Highlights:
A team of more than 400 professionals, Health System Information Services (HSIS) works to keep UAB Medicine’s IT systems and infrastructure running smoothly to deliver quality care to our patients. Join our nationally ranked team at UAB Medicine, the No. 1 Best Large Employer in 2021 as ranked by Forbes magazine.

Work with the Best at UAB Medicine:
UAB Medicine is Alabama’s largest single-site employer and operates over 1,200 beds and over 200 clinics in Birmingham, Alabama. When you become part of UAB Medicine, you join a nationally ranked academic medical center committed to education and advancing medical science through research.

U.S. News & World Report's Best Hospitals, #1 in Alabama
America’s No. 1 Best Large Employer, Forbes, 2021
Level I Trauma Center
NCI-Designated Comprehensive Cancer Center, Comprehensive Transplant Institute, Comprehensive Stroke Center

Our success in patient care, innovation, and education is a direct result of our supportive and inclusive culture. Whether you are looking to start your career, fast-track your development, or diversify your skills, UAB Medicine offers avenues for advancement that other employers cannot match.

General Responsibilities

The Data Scientist will play a pivotal role in analyzing and interpreting complex data sets to enhance the efficiency of clinical operations and improve patient care outcomes. This role requires a strong foundation in machine learning, statistical concepts, and data science methodologies. The Data Scientist will collaborate with healthcare professionals, operations teams, and IT departments to develop predictive models, optimize processes, and support data-driven decision-making.

Key Duties & Responsibilities

1. Analyze large datasets to identify trends, patterns, and opportunities for clinical operational improvement.
2. Develop and implement machine learning models to predict patient outcomes, optimize resource allocation, and enhance clinical operational efficiencies to recognize patterns.
3. Apply advanced statistical methods to evaluate the effectiveness of interventions and care protocols.
4. Identify opportunities for process improvement and pose relevant business questions that lead to valuable insights.

1. Analyze large datasets to identify trends, patterns, and opportunities for clinical operational improvement.
2. Develop and implement machine learning models to predict patient outcomes, optimize resource allocation, and enhance clinical operational efficiencies to recognize patterns.
3. Apply advanced statistical methods to evaluate the effectiveness of interventions and care protocols.
4. Identify opportunities for process improvement and pose relevant business questions that lead to valuable insights.
5. Work closely with clinical teams to understand patient care processes and identify areas for improvement.
6. Partner with operations and clinical teams to develop data-driven solutions that enhance workflow efficiency and reduce costs.
7. Collaborate with IT and data engineering teams to ensure the integrity and accessibility of data.
8. Create comprehensive reports and visualizations to effectively communicate findings to health system leadership.
9. Present data-driven recommendations to leadership to support strategic decision-making.
10. Develop dashboards and tools tp provide insights into key performance metrics.
11. Stay current with latest developments in data science, machine learning, and healthcare analytics.
12. Lead and contribute to research initiatives, as needed, aimed at improving patient care through innovative data applications.

Qualifications

Minimum Requirements
Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field and three (3) years of experience in data science, preferably in a healthcare or operations setting.
Knowledge/Skills/Abilities