Rush Medical Center is looking to transform complex data into actionable insights to enhance decision-making, operational efficiency, and clinical outcomes through AI-driven solutions.
Requirements
- Proficiency in Python for data analysis, machine learning, and automation.
- Experience with cloud-based AI platforms such as Microsoft Azure AI Foundry.
- Proficiency in data visualization tools such as Microsoft Power BI.
- Familiarity with modern analytics platforms (e.g., Microsoft Fabric).
- Experience working with electronic health records (EHR) systems such as Epic.
- Knowledge of R for statistical modeling and healthcare analytics.
- Exposure to agentic AI architectures (e.g., LLM-based agents, Semantic Kernel, LangChain).
Responsibilities
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Build and maintain data pipelines and analytics workflows, ensuring scalability and performance.
- Develop dashboards, reports, and visualizations to communicate findings to technical and non-technical stakeholders.
- Collaborate with cross-functional teams to integrate AI solutions into operational and decision-making processes.
- Conduct ROI analyses and establish KPIs to measure the impact of analytics
- Ensure compliance with data governance, privacy regulations, and ethical practices.
- Participate in the lifecycle management of analytical models, including monitoring, retraining, and performance evaluation.
Other
- Bachelors degree in Data Science, Computer Science, Engineering, Biomedical Informatics, or a related field
- Minimum of 2–3 years of experience delivering analytics or AI solutions with measurable impact
- Strong communication skills with the ability to translate complex data into clear, actionable insights.
- Analytical thinking and problem-solving
- Effective communication and storytelling with data
