Senior Application Developer - ICTS - Biomedical Informatics

University of Iowa • Iowa City, IA

14h • Hybrid

About The Position

We are seeking a highly skilled Research Application & Data Developer to lead the design, development, and integration of research data and application solutions supporting biomedical and translational research initiatives. This position serves as a senior technical contributor within a collaborative informatics environment and plays a key role in advancing the use of clinical and research data to support discovery, operational efficiency, and improved patient outcomes.
The successful candidate will bring advanced experience working with electronic health record (EHR) data, research data integration, and full-stack application development. This individual will partner closely with researchers, clinicians, analysts, developers, and institutional stakeholders to architect and implement scalable solutions that support data pipelines, data warehousing, research applications, and interoperable data systems.
This role requires strong technical leadership, initiative, and collaboration skills. The ideal candidate must be comfortable independently solving complex problems, mentoring team members, evaluating emerging technologies, and guiding projects from concept through implementation and operational support. Success in this role depends heavily on the ability to build strong working relationships across interdisciplinary teams and contribute effectively in a highly collaborative research environment.

Requirements

• A bachelor’s degree in computer science, Biomedical Informatics, Data Science, or a related discipline. An equivalent combination of education and related experience may also serve to meet these minimum requirements.
• Minimum of 5 years of professional experience in application development, software engineering, data engineering, or related technical roles
• Strong understanding of data privacy, security, and compliance (e.g., HIPAA)
• Demonstrated experience working with electronic health record (EHR) data, including clinical data extraction, transformation, integration, and support for research or operational use cases
• Experience working with Epic system
• Familiarity with biomedical ontologies and controlled vocabularies such as SNOMED CT, ICD, LOINC, or MeSH
• Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker), orchestration tools (Kubernetes), and CI/CD workflows
• Strong proficiency in two or more programming languages such as Python, Java, C#, R, or similar technologies
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker)
• Familiarity with clinical and research data standards (e.g., FHIR, HL7, OMOP, PCORNet)
• Experience with data visualization tools (Power BI, R, Tableau or similar)
• Experience designing and supporting full-stack web applications and data-driven systems
• Experience designing and maintaining relational databases, data models, APIs, and data integration workflows
• Demonstrated experience leading or coordinating technical projects and collaborating across interdisciplinary teams
• Strong understanding of secure application development and data governance practices in healthcare or research environments
• Excellent analytical, problem-solving, organizational, and communication skills
• Demonstrated ability to independently manage priorities and solve complex technical problems

Nice To Haves

• Experience in academic health care, biomedical research
• Demonstrated interest in learning new technologies and solving complex data problems
• Experience supporting clinical and translational research programs, including CTSA-related initiatives
• Experience designing or supporting enterprise data warehouse environments and automated data pipelines
• Experience working in academic health centers or complex research environments
• Experience mentoring or providing technical leadership to team members
• Advanced degree in Biomedical Informatics, Computer Science, Data Science, or related field

Responsibilities

• Independently partner with researchers, clinicians, technical staff, and institutional stakeholders to define functional and technical requirements and recommend scalable solutions.
• Lead technical design and analysis activities for research applications, data integration initiatives, and clinical research systems as assigned.
• Design, develop, deploy, and support applications and data solutions for biomedical and translational research.
• Lead development of data integration workflows, data pipelines, and automation processes supporting research and data warehouse initiatives.
• Lead troubleshooting and resolution of complex application, integration, and data-related issues.
• Propose and improve software maintenance, monitoring, and operational support procedures.
• Lead technical planning activities for assigned projects, including development timelines, implementation phases, resource needs, and technical dependencies.
• Coordinate work across stakeholders, collaborators, and technical teams to ensure successful project delivery.
• Analyze business and research workflows to identify opportunities for technical improvement, automation, and data integration.
• Serve as a functional and technical expert translating research and operational needs into scalable systems and applications.
• Build and foster collaborative relationships across research, clinical, and technical teams.
• Provide technical leadership and guidance across multiple areas of expertise.

Benefits

• Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans

What This Job Offers

• Job Type: Full-time
• Career Level: Senior