Enterprise Programmer Analyst I

Position Description :

Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW ... changemaking for a healthier Wisconsin.

As an Enterprise Programmer Analyst I, you will be a part of a purpose-driven team that powers life-saving research and contributes to a collaborative, research environment. Work with cutting-edge data and AI (Artificial Intelligence) technologies. Design high-impact user interfaces that surface insights from machine learning models.

On our CIBMTR (Center for International Blood and Marrow Transplant Research) IT (Information Technology) Applications and Analytics team, you will collaborate with physician scientists, data managers, data analysts, statisticians, and data engineers to design and implement robust web-based applications, intelligent user interfaces, and data visualizations that provide access to vast collections of data to advance outcomes research. Configure and maintain business intelligence tools, dashboards, and AI-integrated portals that surface insights and predictions to researchers and other stakeholders through clear, intuitive interfaces.

This role bridges analytics engineering with modern UI / UX development, especially in the context of AI and machine learning products, expanding our team's capabilities to deliver next-generation, user-centric, data-driven applications.

Responsibilities :

• Collaborate with stakeholders and IT team members to identify, analyze, document, and transform system and user requirements into AI-enhanced technical solutions.
• Design, develop, and maintain web-based applications and portals that support both traditional data analytics and AI-powered features.
• Create engaging and accessible interfaces for AI outputs, such as predictive scores, risk models, and natural language summaries.
• Build and support visualizations and dashboards using BI and analytics tools (e.g. QlikView, Looker) and modern frameworks that integrate AI-driven recommendations.
• Develop and refine front-end portal components that present insights from large data sets, machine learning pipelines, and advanced statistical models.
• Apply user-centered design principles to develop intuitive interfaces for researchers, clinicians, and analysts interacting with AI models or decision-support tools.
• Perform user research and usability testing to guide interface designs for AI model transparency, interpretability, and trust.
• Integrate disparate data sources and ensure alignment between backend data pipelines and front-end AI experiences.
• Document systems, data flows, model interactions, and front-end designs clearly and consistently.
• Provide technical support and training for BI tools and AI-enhanced platforms and participate in Agile development processes.
• Perform other work-related duties as assigned.

Knowledge - Skills - Abilities

Preferred Schedule :

Position Requirements :

Minimum Qualifications :

Appropriate experience may be substituted for education on an equivalent basis.

Minimum education : Bachelor's Degree

Minimum experience : 3 or more years of experience with SQL-based development and data transformation

Preferred Qualifications :

Preferred education : Master's Degree

Preferred experience : 5-7 years

Why MCW?

For a brief overview of our benefits see : departments / human-resources / benefits #LI-NK1

MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity / expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants, or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.