Top Healthtech Data & Analytics Jobs

Cleans, analyzes, validates, and reports HIV program data from CAREWare, EvaluationWeb, surveillance, testing, prevention, and other sources. Develops data quality checks, resolves inconsistencies, matches datasets, supports reporting and quality management, provides technical assistance to subrecipients, troubleshoots data systems, and translates findings into actionable recommendations for public health leadership and programs.

Designs, builds, and maintains scalable data pipelines, infrastructure, data models, dashboards, and visualizations. Collaborates with data scientists, analysts, and stakeholders to improve data quality, accessibility, security, and decision-making. Analyzes workflows and data patterns, contributes to coding standards, supports cloud data integration and warehousing practices, uses AI tools, and grows into deployment and support rotations.

Build and maintain data pipelines to ingest, normalize, and deliver messy healthcare data (FHIR, HL7, CCDAs, PDFs) into structured models for AI and clinical use. Implement ETL, real-time webhooks, document extraction, PII sanitization, storage on AWS, and monitor data quality while ensuring compliance with healthcare interoperability standards.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

Analyze healthcare claims, authorization, and related data to identify trends and opportunities. Develop dashboards, visualizations, analyses, and presentations supporting operational, clinical, and financial decisions. Collaborate with stakeholders, data and engineering teams to define requirements, improve data quality, and deliver actionable recommendations across multiple analytical projects.

Own healthcare analytics data methodology, including episode grouping, provider attribution, cost standardization, quality measures, reference data, pipelines, QA, and production delivery. Translate feature requests into specifications and validated analytics. Reconcile results, establish recurring data-quality coverage, investigate failures, and collaborate with engineering, data science, product, clinical informatics, and customer teams. Advanced SQL and healthcare claims expertise are central to ensuring accurate, defensible customer metrics.

Provides analytical support for clinical, operational, and research data. Responsibilities include database maintenance, data collection and auditing, statistical analysis, clinical outcomes reporting, regulatory reporting, data mining, algorithm development, workflow and pipeline creation, quality control, and troubleshooting. Collaborates with physicians, clinical staff, management, and technology teams while ensuring HIPAA compliance and accurate data processes.

Owns clinical data operations by building and maintaining ELT pipelines, warehouse models, data contracts, quality controls, reconciliations, dashboards, and monitoring. Integrates clinical, laboratory, sequencing, and corporate data into validated, audit-ready systems. Supports production reliability, partner data transfers, regulatory compliance, root-cause analysis, documentation, stakeholder collaboration, and technical guidance for research and development teams.

Designs, builds, and maintains conformed dimensional models in dbt across multiple business domains. Integrates independent source systems, resolves inconsistencies, implements semantic-layer and data-governance artifacts, and improves data quality monitoring. Leads complex transformation projects, partners with stakeholders, mentors junior team members, and uses AI tools to improve development efficiency and quality.