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Med Clinic X is a healthcare technology company delivering modern digital solutions across the United States. We seek a Medical Data Analyst to analyze complex healthcare datasets from EHR systems and SaaS platforms, producing actionable insights for clinical, operational, and product decisions.
You will collaborate with engineers, clinicians, and AI specialists to turn data into intelligent healthcare insights, supporting improved patient care and optimized workflows across healthcare products.
Med Clinic X is a healthcare technology company building modern digital solutions for healthcare organizations across the United States.
We develop healthcare SaaS platforms, patient portals, AI-powered healthcare systems, telemedicine solutions, automation tools, and data-driven digital health products for clinics, hospitals, and healthcare providers.
Our mission is to transform raw healthcare data into meaningful insights that improve patient care, clinical outcomes, and healthcare operations.
We are seeking a Medical Data Analyst to analyze healthcare datasets and deliver actionable insights that support clinical, operational, and product decision-making.
In this role, you will work with structured and unstructured medical data from EHR systems, healthcare SaaS platforms, and clinical workflows. You will help improve data accuracy, reporting systems, and analytics capabilities across Med Clinic X healthcare products.
You will collaborate with engineers, product teams, clinicians, and AI specialists to turn healthcare data into intelligent insights that power modern healthcare systems.
Build metrics pipelines parsing patient logins, communications latency, and app usage logs.
Transform diagnostic records, vitals, lab reports, and medication histories into clean databases.
Design interactive BI reports showing clinic outcomes, referral networks, and scheduling pipelines.
Formulate SQL schemas and data translation models to map incoming clinic charts into unified SaaS tables.
Measure feature engagement rates across messaging boards, prescription refills, and scheduling slots.
Clean and validate clinical outcome datasets to assist machine learning engineers training risk models.
SQL & Relational Databases Required
Medical / Clinical Data Analysis Required
Data Visualization (Tableau/Power BI) Highly Valued
Python or R programming Highly Valued
HIPAA Regulations & Privacy standards Preferred