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University of Oklahoma Linkedin · Posted 13d ago

Senior Database Analyst - HPRC

Oklahoma City

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Indexed description

Pay Range: Targeted annual salary ranges from $54,700 to $72,500, based on experience.

Benefits Eligible: Yes

Work Schedule: Monday – Friday, 8:00 a.m. to 5:00 p.m. (may include some weekends)

Travel: Not required

Position Introduction

OU Health Stephenson Cancer Center is Oklahoma's only National Cancer Institute (NCI)-Designated Cancer Center, and one of only 74 NCI-Designated Cancer Centers in the United States. This highly competitive accreditation ensures that our patients receive the highest standard of care and have access to the most advanced cancer treatment options. Now, the Health Promotion Research Center (HPRC) at Stephenson Cancer Center is expanding its impact, and we're searching for a Senior Database Analyst who's ready to elevate the power of data in the fight against cancer.

Why This Role Matters: As a Senior Database Analyst, you won't just manage data, you'll shape the insights that drive cancer prevention, early detection, and population health breakthroughs.

You Will Be The Expert Who

  • Designs and optimizes research databases that support large-scale public health studies
  • Maintains secure, high-quality data storage systems
  • Transforms raw data into statistical insights that guide scientific discovery

Supports multidisciplinary teams working to improve health outcomes across Oklahoma and beyond Your work becomes part of something bigger: advancing research that saves lives.

Learn more about the Health Promotion Research Center here.

Required Education And Experience

  • Bachelor's degree.
  • 48 months experience in Data Processing, Database Management Systems or related experience.

Equivalency/Substitution: Will accept 48 months related experience in lieu of the Bachelor's degree for a total of 96 months related experience.

Required Certifications And Licenses

None

Department Preferences

  • Experience with intensive longitudinal data analysis, multilevel modeling, power analysis, and handling missing data.
  • Experience with large datasets (e.g., using multilevel models to analyze ecological momentary assessment data).

Hiring Contingent Upon a Background Check: Yes
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