Senior Application Developer - ICTS - Biomedical Informatics

Senior Application Developer – ICTS – Biomedical Informatics

The Institute for Clinical and Translational Science (ICTS) at the University of Iowa seeks an experienced Senior Application Developer to support cutting‑edge biomedical research and data science. The developer will serve as the primary application and data developer for ICTS-supported research projects, owning the full lifecycle from requirements gathering through implementation, maintenance, and technical debt management. The role is critical in enabling researchers and clinicians to advance discovery, improve patient outcomes, and accelerate translational science.

The position will coordinate with central Carver College of Medicine (CCOM) IT and institutional partners as needed to align with security, compliance, and hosting standards while remaining focused on ICTS research systems.

• Collaborate with researchers and end users to define functional/technical specifications and offer solutions; lead design and analysis.
• Consult to define system requirements, identify programming and output needs, and verify preliminary design and output; write documentation and educate the community in application or data warehouse functionality.
• Recommend tools, languages, technologies, techniques, and standards to improve processes.
• Build development environment automation.
• Propose software maintenance procedures and schedules.
• Provide on‑call coverage for complex issues.
• Scope potential projects to create summaries and make recommendations.
• Develop work plans and time schedules for computing projects, including outlining phases and identifying personnel and computing equipment requirements.
• Gather business system solution requirements by interviewing and analyzing work processes and operations; evaluate business and information systems functionality.
• Act as a functional expert for translating business practice into systems.
• Build and foster relationships; provide leadership in multiple areas of expertise.
• Seek ways to improve assigned processes.

• Bachelor’s degree in computer science, Biomedical Informatics, Data Science, or a related discipline (or equivalent combination of education and experience).
• Minimum five years of experience with advanced proficiency in programming languages such as Python, Java, PHP, R, and C#, and experience in web frameworks (Django, Flask, Spring, .NET, Node.js, React, or Angular).
• Strong background in web development, web application configuration, and proficiency in HTML5, CSS, JavaScript, jQuery, JSON, and XML for multiple web browsers on multiple platforms.
• Strong expertise in database design, optimization, and data integration (SQL and No
  
  SQL).
• Familiarity with medical informatics interoperability standards (FHIR, HL7, CDISC).
• Familiarity with clinical and research common data models (PCORNet CDM, OMOP) and biomedical ontologies (SNOMED CT, ICD, LOINC, MeSH, RxNorm).
• Hands‑on experience with cloud platforms (AWS, Azure, GCP, Databricks, Snowflake), containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines (Git Hub, Git Lab, Jenkins).
• In‑depth knowledge of web security and login technologies (LDAP or Active Directory).
• Ability to design and implement data visualization and analysis tools using R, Python, Tableau, or Power BI.
• Experience integrating electronic health records (EHRs) and related APIs into research workflows.
• Strong collaboration skills with the ability to work across interdisciplinary research teams.
• Excellent written and verbal communication skills, including documentation and the ability to present technical concepts to large audiences.

• In‑depth knowledge of data security, compliance, and governance practices, including HIPAA and GDPR.
• Prior experience supporting NIH‑ or industry‑funded biomedical research projects, including grant‑driven deliverables and reporting requirements.
• Experience working within an academic health center, with an understanding of research culture and compliance frameworks.
• Advanced degree (MS) in Computer Science, Biomedical Informatics, Data Science, or a related discipline.
• Background in clinical trial data…