At Curana Health, the business problem is to radically improve the health, happiness, and dignity of older adults by transforming care delivery, streamlining operations, and enhancing resident experiences in senior healthcare settings.
Requirements
- 2–5+ years of AI & SWE experience, ideally in healthcare or life sciences.
- Proficiency in Python and frameworks such as Scikit-learn, TensorFlow, or PyTorch; experience with Azure ML SDK.
- Strong data engineering skills (SQL, Pandas, ETL frameworks).
- Hands-on experience with LLMs and agentic frameworks (LangChain, LangGraph, LlamaIndex).
- Familiarity with Azure services (Azure Machine Learning, Azure AI Foundry, Cognitive Services) is a plus.
- Knowledge of healthcare data standards (FHIR, HL7) and EHR integration is a plus.
- Experience with observability tools (Azure Monitor, Application Insights).
Responsibilities
- Build and deploy AI solutions that reduce administrative burden, elevate care management, and balance patient demand with staffing availability.
- Implement intelligent automation for scheduling, care plan updates, and post-visit tasks.
- Integrate AI solutions with existing EHR and resident management systems.
- Analyze structured and unstructured healthcare data to uncover trends and improve clinical decision-making.
- Continuously monitor, optimize, and ensure compliance of AI models for accuracy, scalability, and regulatory standards.
- Collaborate with cross-functional teams to translate business needs into technical solutions.
- Maintain strict adherence to HIPAA and healthcare data security requirements.
Other
- Strong analytical and problem-solving abilities.
- Excellent communication skills for working with non-technical stakeholders.
- Passion for leveraging technology to improve senior care.
- Education or experience in health informatics or public health.
- Cloud certifications (Azure, AWS, GCP) in AI/ML or architecture.
