Population Science Data Analyst I, School of Public Health

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career! 

JOB SUMMARY
Population Science Data Analyst I is sought to support research efforts by managing and analyzing clinical and research data. The successful candidate will work collaboratively with interdisciplinary team, including the Senior Data Manager, Researchers, Clinicians, and IT professionals, to address data-related needs. This role involves handling large, complex datasets, conducting analyses, and contributing to research publications.

 

BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100% coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer
• Learn more about these and other UTSW employee benefits!

Experience And Educationrequired

• EducationBachelor's Degree In related field in behavioral, social science, or clinical applied research  
• Experience1 year Experience directly related to type of database building, maintenance including experience working with and maintaining large complex database along with data analysis experience, preferably in behavioral, social science or clinical applied research and  

Preferred Experience

• Experience with EPIC electronic health record data.
• Proficiency in R, SQL, and Python (highly preferred)
• Working knowledgeable of SAS, Stata, or other statistical software.
• Experience with data visualization tools such as Tableau or Microsoft BI.
• Familiarity with IRB processes and human subject research protections. 

Job Duties

• Work under the direction of a Senior Data Manager to extract, clean, and integrate data from EPIC and other sources for use in research studies.
• Provide data management and analysis support to faculty and research staff.
• Contribute to the statistical analysis of data and the preparation of figures, tables, and results for presentations, reports, and publications.
• Collaborate and communicate effectively with stakeholders, including researchers, clinicians, and IT teams.
• Assist with the preparation and submission of IRB applications and related documentation.
• Maintain required certifications and hospital credentials necessary for working with clinical data.
• Ensure compliance with institutional policies and regulatory requirements regarding data privacy, security, and ethical standards.
• Stay current with evolving technical skills, analytic methods, and institutional best practices.
• *Other Duties:  Performs other duties as assigned.

SECURITY AND EEO STATEMENT

Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

EEO
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.