Healthcare AI Solutions Analyst

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., The AI Solutions Analyst plays a key role in Rush’s AI innovation journey, partnering with clinicians, operational leaders, and technology teams to design and deploy AI-driven solutions that improve patient care, enhance the clinician experience, and drive operational excellence. As a member of a fast-paced, cross-functional “tiger team,” this individual will rapidly assess opportunities, translate complex business and clinical challenges into scalable solutions, and help bring transformative ideas from concept to deployment.

This highly collaborative role is ideal for a curious, analytical, and action-oriented professional who enjoys solving complex problems, working directly with stakeholders, and leveraging emerging technologies to create measurable impact. The AI Solutions Analyst will work at the intersection of healthcare, data, and technology, supporting initiatives that advance innovation across the enterprise while ensuring solutions are practical, scalable, and aligned with organizational goals., 1. Rapid Solution Design & Deployment

1. Partner with clinical, operational, and administrative stakeholders to identify high-value AI use cases
2. Translate business and clinical needs into technical requirements and workflows
3. Rapidly prototype, test, and iterate AI solutions (e.g., predictive models, automation, NLP tools)
4. Tiger Team Execution
5. Operate as part of a cross-functional agile “tiger team” delivering solutions in compressed timelines
6. Participate in sprint-based delivery cycles with clear milestones and measurable outcomes
7. Quickly assess feasibility, risks, and ROI of proposed AI initiatives
8. Pivot priorities dynamically based on organizational needs and emerging opportunities
9. Data & AI Enablement
10. Collaborate with data engineers and data scientists to source, prepare, and validate datasets
11. Support model evaluation, performance monitoring, and continuous improvement
12. Ensure solutions are scalable, secure, and aligned with enterprise data governance standards
13. Clinical & Operational Integration
14. Work closely with clinicians and frontline staff to embed AI into real-world workflows
15. Conduct user testing, training, and adoption support
16. Ensure solutions are explainable, ethical, and compliant with healthcare regulations
17. Innovation & Continuous Improvement
18. Stay current on emerging AI technologies and healthcare trends
19. Identify opportunities to reuse components and scale solutions across the enterprise
20. Contribute to building a repeatable AI deployment framework and playbook

The successful candidate will bring healthcare technology experience, strong analytical and communication skills, and a passion for applying AI, automation, and data-driven solutions to real-world challenges. They will thrive in a dynamic environment where priorities evolve quickly, collaboration is essential, and every project has the potential to improve outcomes for patients, clinicians, and the communities Rush serves., * Bachelor’s degree in Healthcare Informatics, Information Systems, Data Science, or related field

• 1 year of experience in healthcare IT, analytics, or digital transformation
• Experience working with healthcare systems (EHRs such as Epic, Cerner, imaging systems, etc.)
• Strong analytical skills with ability to translate business needs into technical solutions
• Experience with AI/ML concepts, data workflows, or automation tools (no-code/low-code acceptable)
• Proven ability to manage multiple priorities in fast-paced, ambiguous environments

Preferred Qualifications

• Experience with AI use cases such as NLP, clinical decision support, or workflow automation
• Familiarity with tools such as Python, SQL, cloud platforms (Azure, AWS, GCP), or AI platforms
• Knowledge of interoperability standards (HL7, FHIR)
• Experience in agile or product-based delivery models
• Background working directly with clinicians or healthcare operations teams