Clinical Data Analyst
Medclinicx
Med Clinic X is a healthcare technology company focused on 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 workflows, and digital health products for clinics, hospitals, and medical organizations. Our mission is to turn complex healthcare data into meaningful, actionable insights that improve patient care, operational efficiency, and healthcare decision-making. Job Overview We are looking for a Clinical Data Analyst to transform healthcare and clinical data into insights that drive better decisions across healthcare systems and digital health platforms. In this role, you will work with structured and unstructured healthcare data from clinical systems, EHR platforms, and healthcare SaaS products. You will help improve data quality, reporting accuracy, and analytics capabilities across Med Clinic X healthcare solutions. You will collaborate with product teams, engineers, healthcare professionals, and AI specialists to build data-driven healthcare systems used by organizations in the US healthcare ecosystem. Key Responsibilities Clinical Data Analysis Analyze clinical and healthcare datasets to identify patterns, trends, and performance insights. Develop reports and dashboards for clinical and operational decision-making. Validate and clean healthcare data from multiple sources including EHR/EMR systems. Monitor key healthcare performance indicators and clinical outcomes. Support analytics for healthcare SaaS platforms and patient-facing systems. Analyze user behavior and clinical workflow efficiency across healthcare applications. Identify opportunities to improve patient engagement and system performance. Work on reporting systems for healthcare clients and internal platforms. Data Engineering & Collaboration Work with engineers to define data pipelines and analytics requirements. Support integration of healthcare APIs and data sources. Ensure consistency and accuracy across healthcare datasets. AI & Advanced Analytics Support Prepare datasets for AI-driven healthcare solutions and predictive models. Support machine learning initiatives in clinical and operational analytics. Help build intelligent reporting systems for healthcare workflows. Contribute to automation of healthcare data insights. Healthcare Technology Areas You Will Work With Support client-facing SaaS platform clinical metrics and transaction dashboards. Clinical data analytics systems Build and query robust clinical tables summarizing patient outcomes and vitals trends. Patient portals & engagement Analyze how patients interact with portal checklists and educational resources. EHR/EMR data integration Help engineers map clinical records from hospitals into standardized schema targets. Track performance throughput and clinical validation logs of automation workflows. AI healthcare solutions Query, clean, and structure text datasets for training clinical speech and triage LLMs. Core Technical Skills Clinical Data Reporting & BI Tools Required Python / R for Data Science Highly Valued EHR/EMR Systems Data Models Highly Valued Required Qualifications Bachelor’s degree in Data Science, Stats, Healthcare Informatics, CS, or related field. Experience in healthcare data analysis or clinical analytics environments. Strong SQL skills and experience working with relational databases. Experience with data visualization tools (Power BI, Tableau, or similar). Strong understanding of healthcare data structures and reporting systems. Preferred Qualifications Experience in US healthcare organizations or healthcare SaaS companies. Knowledge of HIPAA compliance and healthcare data privacy standards. Familiarity with EHR/EMR systems and clinical data workflows. Exposure to AI/ML healthcare projects or predictive analytics. Why Join Med Clinic X? Work on real healthcare data that directly impacts patient care. Collaborate directly with product engineers and AI specialists. Grow in a fast-scaling healthcare SaaS environment. #J-18808-Ljbffr Medclinicx
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