Job description

Location: Chicago, Illinois Business Unit: Rush Medical Center Hospital: Rush University Medical Center Department: Research Computing Work Type: Full Time (Total FTE between 0.9 and 1.0) Remote Shift: Shift 1 Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM) Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits). Pay Range: $38.07 - $56.73 per hour Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. Summary This role plays a key part in designing, deploying, and managing AI-driven solutions that transform complex data into actionable insights—enhancing decision-making, operational efficiency, and clinical outcomes. We are seeking a highly skilled and innovative Data Scientist to join our team This role is responsible for transforming complex data into actionable insights that support strategic, operational, and clinical decision-making. The ideal candidate will have a strong foundation in data science, machine learning, and data visualization, with a proven ability to collaborate across multidisciplinary teams. Other Information Required Qualifications • Bachelors degree in Data Science, Computer Science, Engineering, Biomedical Informatics, or a related field • Proficiency in Python for data analysis, machine learning, and automation. • 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. Preferred Qualifications • 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). • Relevant certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Core Competencies • Analytical thinking and problem-solving • Technical proficiency in data science tools and platforms • Effective communication and storytelling with data • Collaboration and stakeholder engagement • Ethical and compliant use of data and AI technologies 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. • Provide training and documentation to support the adoption and understanding of analytics tools and models. • Participate in the lifecycle management of analytical models, including monitoring, retraining, and performance evaluation. Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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