The Neaman Center for Personalized Medicine is seeking an experienced Data Analytics Analyst to support clinical, operational, and research initiatives across Endeavor Health’s precision medicine program. This role partners with clinicians, genetic counselors, pharmacists, informaticists, researchers, and operational leaders to translate complex clinical and business questions into actionable analytics.
The position works with clinical and genomic data sources, including Epic Clarity and enterprise data warehouse data, to develop and maintain analytic datasets, clinical measures, reports, dashboards, and other data products. The analyst will support patient-journey tracking, cohort development, data validation, and research and quality-improvement efforts.
This is a collaborative hybrid role for someone who enjoys solving ambiguous problems, working with subject-matter experts, and building analytic solutions that improve personalized medicine programs.
Required Qualifications
- Bachelor’s degree in computer science, data science, statistics, mathematics, health informatics, healthcare administration, or a related field
- 5+ years of experience in healthcare analytics, clinical data analysis, business intelligence, health informatics, or a related field
- Strong proficiency in SQL and experience working with relational healthcare data
- Experience with electronic health record data, preferably Epic/Clarity
- Experience with Python, R, SAS, or another data analysis or data engineering language
- Ability to work with complex, imperfect, and heterogeneous healthcare data
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts and analytic findings to clinical and nontechnical audiences
- Experience collaborating with clinicians, researchers, or other healthcare subject-matter experts
- Strong organizational skills and ability to manage multiple projects and competing priorities
Preferred Qualifications
- Graduate degree in computer science, statistics, data science, health informatics, or a related field
- Experience with precision medicine, genomics, pharmacogenomics, oncology, or related specialty data
- Experience developing clinical quality measures, patient cohorts, or population-health measures
- Experience with clinical terminology, medication data, diagnosis data, or standardized healthcare vocabularies
- Experience developing data pipelines or production-oriented analytic workflows
- Experience with Tableau or other BI and data-visualization platforms
- Experience conducting clinical data validation
- Experience supporting clinical research or quality-improvement initiatives
- Familiarity with clinical workflows and healthcare data architecture
Technical Skills
- Python, including Pandas, SciPy, and Statsmodels
- Statistical modeling and hypothesis testing
- Quantitative research methods
- Advanced SQL, including joins, aggregations, subqueries, window functions, CTEs, DDL/DML, and query optimization
- Epic Clarity and the Clinical Data Model
- Integration of multiple internal and external data sources
- Git/GitHub, Linux, and remote access/file transfer tools
- Power BI and/or Tableau
- Healthcare workflows, particularly orders and encounters
- ICD-10/ICD-9, CPT/HCPCS coding, and claims data
- Basic genetics
Benefits
- Incentive pay for select positions
- Opportunity for annual increases based on performance
- Career pathways for professional growth and development
- Medical, dental, pet, and vision insurance options
- Tuition reimbursement
- Free parking
- Wellness program savings plan
- Health savings account options
- Retirement options with company match
- Paid time off and holiday pay
- Community involvement opportunities
Location
Illinois, US
Employment Type
Full-time
Experience Level
Senior
Remote work allowed
No
Posted
1 month ago