Job Description
Join Mayo Clinic's world-renowned research team as a Senior Clinical Data Analyst. You'll transform complex healthcare data into actionable insights that drive patient outcomes and advance medical innovation. This role offers unparalleled opportunities to work with cutting-edge EHR systems, clinical trials data, and population health metrics in a collaborative, mission-driven environment.
We're seeking a visionary analyst to lead data strategy initiatives, mentor junior team members, and partner with physicians to develop predictive models for chronic disease management. Mayo Clinic provides comprehensive benefits, flexible work arrangements, and access to continuous learning programs through the Mayo Clinic School of Continuous Professional Development.
Responsibilities
- Design and implement advanced analytics solutions for clinical research and population health studies
- Lead data integration from EHR systems, wearables, and genomic databases
- Develop predictive models for patient risk stratification and treatment optimization
- Create interactive dashboards and data visualizations for clinical leadership teams
- Collaborate with cross-functional teams to translate data findings into actionable clinical recommendations
- Ensure compliance with HIPAA, FDA regulations, and data governance standards
- Mentor junior analysts and lead data quality improvement initiatives
Qualifications
- Master's degree in Health Informatics, Biostatistics, Data Science, or related field
- 5+ years of experience in healthcare data analysis with clinical systems (EHR, EMR)
- Advanced proficiency in SQL, R, and Python with healthcare data libraries
- Certification in clinical data management (CCDM) or healthcare analytics preferred
- Deep understanding of FHIR standards and clinical terminologies (SNOMED-CT, LOINC)
- Experience with REDCap, SAS, or Tableau for clinical research data
- Proven track record of translating complex data into clinical decision support tools
- Strong communication skills for presenting findings to multidisciplinary audiences