IT Business Applications Analyst II

Responsibilities

• Analyze complex healthcare datasets, including EHR, claims, and imaging data, to uncover insights and develop predictive models.
• Identify, research and deploy AI algorithms for use in clinical and operational settings (e.g., patient risk stratification, diagnostic support).
• Develop NLP solutions to process and extract structured data from unstructured clinical notes.
• Collaborate with clinicians, data engineers, and CIT teams to ensure seamless integration of AI tools into healthcare workflows and existing reporting structures.
• Effectively elicit, capture, and document user requirements through interviews, workshops, and observation.
• Monitor model performance, ensure interpretability, and update models as new data becomes available.
• Ensure compliance with HIPAA and other healthcare data privacy regulations.
• Communicate findings and insights to both technical and non-technical stakeholders through reports and visualizations.
• Demonstrate excellent guest service to internal team members and patients.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Health Informatics, or a related field.
• 2+ years of experience in data analysis or machine learning, preferably in a healthcare setting.
• Proficiency in Python, R, and SQL.
• Experience with ML frameworks (e.g., scikit-learn, Tensor Flow, PyTorch).
• Experience with modern data warehouse platforms (e.g., Snowflake, Databricks).
• Familiarity with EHR systems (e.g., Athena) and healthcare terminologies (ICD, CPT, SNOMED).
• Strong understanding of HIPAA compliance and data governance practices.
• Excellent verbal and written communication skills to effectively collaborate with diverse teams and stakeholders.
• Strong attention to detail to ensure accuracy and quality in project deliverables.
• Preferred
  - Experience with cloud platforms (AWS, GCP, Azure).
• Preferred
  - Certification in healthcare analytics or AI (e.g., CHDA, Tensor Flow Developer Certificate).