✦ Luna Orbit — Healthcare & Medical

Clinical Pharmacist (Advanced Analytics)

at Centene

📍 49 Locations Hybrid 💰 $107K – $199K USD / year Posted April 15, 2026
Salary $107K – $199K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education PharmD (Active PharmD)
Category Healthcare & Medical

Clinical Pharmacist (Advanced Analytics) uses clinical pharmacy expertise and advanced analytics to identify cost savings and improve care quality using healthcare claims and eligibility data. The role builds and maintains automated data pipelines and analytics visualizations, presenting insights to clinical and leadership stakeholders.

  • Identify cost savings opportunities using guidelines, literature, utilization patterns, and site of care
  • Analyze clinical and financial opportunities using Python and SQL
  • Extend automated data pipelines and analytics workflows
  • Work with analytics engineers to build scalable automated analytics solutions
  • Build Power BI outputs and communicate insights to stakeholders

This position applies Python and SQL to explore, analyze, and validate large healthcare datasets and extend automated data pipelines for scalable analytics workflows. It also creates analytical outputs and visualizations using Power BI and may use modern platforms such as Snowflake and cloud-based analytics environments.

The ideal candidate is an Active PharmD with advanced Python and SQL skills used to analyze healthcare claims and eligibility data. They can translate clinical pharmacy expertise into automated analytics workflows and communicate findings through Power BI visualizations to clinical, business, and leadership audiences.

Active PharmD with strong clinical pharmacy training and experienceAdvanced proficiency in Python for data analysis and automationAdvanced proficiency in SQL for querying and analyzing large datasetsExperience working with healthcare data such as medical claimspharmacy claimseligibilityor encountersDemonstrated ability to combine clinical judgment with data driven analysisAbility to communicate complex analytical findings clearly to non technical audiences
Power BI or similar data visualization toolsExperience with modern data platforms such as Snowflake or cloud based analytics environments
PythonSQLPower BISnowflake
clinical pharmacy expertisePythonSQLPower BIautomated data pipelinesanalytics workflowsmedical claimspharmacy claimsmember eligibilityencounters datahealthcare data analysisdata visualizationSnowflake
clinical pharmacy expertisecost savings opportunity identificationutilization patterns analysisguidelines interpretationdrug compendia reviewpublished studies reviewanalytical hypothesesPython for data analysisPython for data automationSQL queryingSQL for analyzing large datasetsautomated data pipelinesanalytics workflowsdata exploration and validationhealthcare datasets analysismedical claimspharmacy claimsmember eligibilityencounters datatranslating clinical concepts into scalable automated analytics solutionsdata visualizationPower BI
present insights and recommendations clearlycommunication to clinicalbusinessand leadership audiencescollaboration with analytics engineerscollaboration with team membersparticipate in clinically focused meetingsknowledge sharingability to work in ambiguous problem spacesclinical judgment combined with data-driven analysis
Industry Healthcare
Job Function Translate clinical pharmacy expertise into scalable advanced analytics to improve care outcomes and utilization efficiency.
Role Subtype Pharmacist
Tech Domains Python, Power BI, SQL / PostgreSQL
Visa Sponsorship No
Clinical PharmacistAdvanced AnalyticsPharmDPythonSQLPower BIautomated data pipelinesanalytics workflowsmedical claimspharmacy claimsmember eligibilityencounters dataclinical guidelinesdrug compendiapublished studiesutilization patternssite of careSnowflakedata visualizationdata driven analysisscalable automated analytics solutionsclinical pharmacy expertisecost savings opportunities

Must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future, Must have Active PharmD, Advanced proficiency in Python and SQL, Experience with healthcare data such as medical claims, pharmacy claims, eligibility, or encounters

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