Analyze large-scale healthcare datasets, including EMR/EHR data, to uncover trends, patterns, and insights that drive improvements in patient care and operational workflows.

Develop and deploy predictive models and machine learning algorithms to predict patient outcomes, disease progression, and treatment responses.

Collaborate closely with healthcare professionals, including physicians, nurses, and administrators, to understand their data needs and translate insights into actionable recommendations.

Utilize natural language processing (NLP) techniques to extract valuable information from unstructured clinical notes and other textual data within EMR/EHR systems.

Implement data-driven solutions that enhance the usability and interoperability of EMR/EHR systems, improving data quality and accessibility for clinical and research purposes.

Stay current with advancements in healthcare data science, regulatory requirements, and industry best practices to ensure compliance and innovation in data analytics.

Proven experience as a Data Scientist in the healthcare industry, with expertise in analyzing EMR/EHR data.

Deep understanding of machine learning techniques and algorithms, particularly as applied to healthcare data (e.g., predictive modeling, natural language processing, clustering).

Familiarity with healthcare standards and regulations (e.g., HIPAA) related to data privacy and security.

Excellent communication skills, with the ability to collaborate effectively with interdisciplinary teams and communicate complex findings to non-technical stakeholders.

Experience with healthcare interoperability standards (e.g., HL7, FHIR) and big data technologies  is a plus.