Ansible Health

Data Engineer

• Design, develop, and maintain scalable data pipelines to ingest, process, and integrate data from multiple healthcare systems, medical devices, and external sources
• Build and optimize data models and architectures that support clinical analytics, machine learning applications, and operational reporting
• Implement robust data quality controls, validation procedures, and monitoring systems to ensure data accuracy and reliability
• Create and maintain data documentation, including data dictionaries, lineage diagrams, and process workflows
• Collaborate with data scientists to provide efficient data access patterns and support the deployment of ML models into production
• Develop APIs and data services that enable secure, compliant access to healthcare data for internal teams and external partners
• Implement data security and privacy measures that ensure compliance with HIPAA and other healthcare regulations.

Data Scientist

• Design, develop, and implement machine learning models and algorithms to predict clinical outcomes, identify at-risk patients, and optimize treatment protocols for polychronic cardiopulmonary conditions
• Apply advanced statistical methods to analyze complex patient data, extracting meaningful patterns and insights that drive clinical and operational improvements
• Build and deploy natural language processing solutions to extract valuable information from unstructured clinical notes and medical literature
• Develop time-series models to analyze continuous monitoring data from medical devices and wearables, identifying early warning signs of patient deterioration
• Create and validate clinical decision support algorithms that provide actionable insights for healthcare providers