Partner cross-functionally with clinical, product, and engineering teams to define data requirements and ensure accurate implementation of clinical logic
Independently write, optimize, and maintain complex SQL queries that power clinical workflows and decision logic within CaryHealth’s SaaS platform
Evaluate interim performance metrics and clinical outcomes to assess product effectiveness, clinical impact, and operational efficiency
Conduct analyses to identify opportunities to improve engagement, efficiency, and outcomes across CaryHealth’s digital health products
Support experimentation and iteration by analyzing results from pilots, feature launches, and workflow changes
Communicate insights clearly through dashboards, summaries, and presentations tailored to clinical, product, and leadership audiences
Translate clinical processes and requirements into scalable data models, analytics pipelines, and reporting frameworks that support product growth
Identify trends, gaps, and opportunities to improve patient outcomes, pharmacy workflows, and user experience through data-driven insights
Support clinical strategy and product decision-making by delivering clear, actionable insights to technical and non-technical stakeholders

Requirements

Minimum of 2 years of hands-on SQL experience, including complex queries and data validation
Background in healthcare, clinical operations, or healthcare analytics
Experience working with clinical data (e.g., EHR, claims, pharmacy, quality measures, or population health data)
Experience with healthcare data standards (e.g., ICD-10, CPT, SNOMED, LOINC)
Strong analytical and problem-solving skills with attention to detail
Ability to communicate findings clearly to both technical and non-technical audiences
Knowledge of HIPAA and healthcare data privacy requirements
Strong communication and teamwork abilities, with a passion for learning and sharing knowledge
Excellent organizational skills and attention to detail
Ability to work independently as well as collaboratively with cross-functional teams
Flexibility to adapt to changing priorities and work schedules as needed
Demonstrated can-do attitude and a commitment to delivering high-quality service
Candidates must be authorized to work in the United States to be eligible to apply for this position.
Preferred Qualifications
Nursing (RN, BSN) or Pharmacist (PharmD, RPh) degree
Proficiency in Python, including experience writing clean, efficient, and well-documented code for data analysis, automation, or application development.
Experience working with health plans and/or pharmaceutical industry
Experience with BI tools (e.g., Tableau, Power BI, Looker)
Familiarity with healthcare quality metrics, regulatory reporting, or value-based care programs

Benefits

Health Care Plan (Medical, Dental & Vision)
Paid Time Off (Vacation, Sick, Holidays)
Parental & Pregnancy Leave
Commuter Benefits
Life Insurance
Company laptop

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata validationdata analysisPythonhealthcare data standardsclinical dataanalytical skillsproblem-solving skillsdata modelingreporting frameworks

Soft Skills

communication skillsteamworkorganizational skillsattention to detailflexibilityindependencecollaborationpassion for learningcan-do attitudecommitment to quality

Certifications

RNBSNPharmDRPh