Building scalable data pipelines, driving predictive analytics, and implementing next-generation AI solutions for smarter, data-driven healthcare solutions.
Requirements
- Proficiency in SQL, Python, and PySpark
- Strong experience with Vertex AI, Databricks, or other cloud-based ML platforms
- Background in data pipeline design, ETL, and workflow automation
- Hands-on experience building, training, and deploying ML/AI models (forecasting, classification, NLP)
- Familiarity with Generative AI and LLMs for applied use cases
- Knowledge of healthcare data standards (EHR, claims, HL7, FHIR) is a strong plus
Responsibilities
- Design, build, and maintain robust data pipelines and workflows for structured and unstructured healthcare data
- Develop, train, and deploy ML/AI models for forecasting, automation, and advanced analytics
- Leverage tools like Vertex AI, Databricks, PySpark, and Python to build scalable and efficient solutions
- Implement LLM-based solutions to enhance patient insights, automate processes, and support clinical decision-making
- Partner with stakeholders to identify opportunities for predictive modeling and AI-driven automation
- Ensure data quality, compliance, and security standards in line with healthcare regulations (HIPAA, PHI, etc.)
Other
- CST AND EST Preferred
- Strong communication skills with ability to work cross-functionally with technical and non-technical teams
