The Clinical Research Data Analyst supports biomedical and translational research through the extraction, integration, analysis, and management of complex clinical and research data. This position works closely with researchers, clinicians, data teams, and institutional stakeholders to translate research questions into actionable data solutions using electronic health record (EHR) and related healthcare data sources.
The successful candidate will serve as a key contributor supporting the Enterprise Data Warehouse for Research (EDW4R) and other research data platforms. Responsibilities include data querying, cohort identification, data validation, data integration, reporting, and support for research data workflows. The position requires strong technical skills, attention to detail, and the ability to collaborate effectively within interdisciplinary research environments.
This role is not entry level and requires prior experience working with healthcare or biomedical data, including familiarity with EHR systems and healthcare data structures. The ideal candidate is intellectually curious, collaborative, adaptable, and capable of independently solving complex data problems in support of clinical and translational research initiatives.
Duties to include but not limited to:
- Utilize SQL and related database technologies to extract, transform, validate, and analyze clinical and research data from the Enterprise Data Warehouse for Research (EDW4R) and related systems
- Collaborate with researchers and project teams to define data requirements, cohort criteria, and reporting specifications
- Develop and maintain reports, queries, dashboards, and supporting documentation for research and operational needs
- Create and maintain database objects, forms, extracts, and reporting workflows supporting research initiatives
- Review and interpret database specifications, data models, and research data requirements
- Participate in data modeling and metadata management activities related to clinical and research datasets
- Provide analysis, design, implementation, and operational support for research data and reporting solutions
- Develop and maintain programmatic solutions and automation workflows supporting research data operations
- Provide technical and operational support for research data and associated workflows
- Support routine database administration activities, including review, validation, and security processes
- Follow established core practices and processes.
- Coordinate and provide support on activities across multiple concurrent projects and priorities
For a full job description, please send an e-mail to the contact listed below.
About ICTS: The Institute for Clinical and Translational Science (ICTS) at the University of Iowa was approved by the Iowa Board of Regents in 2007 to support the work of investigators involved in clinical and translational science. Our mission is to accelerate translational science through programs to develop the translational workforce, to promote engagement of community members and other stakeholders, to promote research integration across the lifespan, and to catalyze innovative clinical and translational research. These efforts will lead to the development of novel therapies and healthcare delivery strategies, the integration of translational research and clinical practice, and, ultimately to measurable improvements in the health of Iowa and the nation.
Percent of Time: 100%
Pay Grade: 3B
https://hr.uiowa.edu/pay/guide-pay-plans
Hybrid within Iowa: This position is eligible for a combination of on-campus and remote work. Remote work must be performed within Iowa and will require a work arrangement form to be completed upon the start of your employment. Per policy, work arrangements will be reviewed annually, and must comply with the remote work program and related policies and employee travel policy when working at a remote location.
Benefits Highlights:
- Fringe benefit package including paid vacation; sick leave; health, dental, life and disability insurance options; and generous employer contributions into retirement plans
- For more information about Why Iowa?, click here
Required Qualifications
- Bachelor’s degree in Biomedical Informatics, Computer Science, Information Systems, Public Health, Data Science, Business Analytics, Healthcare Administration, or related field, or equivalent combination of education and experience.
- Minimum of 3 years of professional experience working with healthcare, clinical, biomedical, or research data
- Experience querying and analyzing data using SQL or related database technologies
- Experience working with electronic health record (EHR) data and healthcare terminology systems
- Understanding of healthcare data structures, clinical workflows, and healthcare coding systems (ICD, CPT, LOINC, SNOMED, etc.)
- Demonstrated ability to manage multiple projects and priorities in collaborative environments
- Strong analytical, organizational, communication, and problem-solving skills
- Ability to work independently while collaborating effectively across interdisciplinary teams
Desirable Qualifications
- Experience working with Epic, including Clarity, Caboodle, or related reporting databases
- Epic Certifications: Clarity, Caboodle
- Experience supporting clinical, translational, or academic research initiatives
- Familiarity with research data warehouses and large-scale healthcare datasets
- Experience using Python, R, SAS, or similar tools for data analysis or automation
- Familiarity with healthcare interoperability and data exchange standards such as HL7 or FHIR
- Experience with data visualization and reporting tools such as Tableau or Power BI
- Experience working within academic healthcare or CTSA-supported environments
- Familiarity with HIPAA, data governance, and research compliance practices
Application Process:
In order to be considered for an interview, applicants must upload the following documents and mark them as a “Relevant File” to the submission:
Resume
Cover Letter
Job openings are posted for a minimum of 7 calendar days and may be removed from positing and filled any time after the original posting period has ended.
Successful candidates will be required to self -disclose any conviction history and will be subject to a criminal background check and credential/education verification. Up to 5 professional references will be requested at a later step in the recruitment process.
For additional questions, please contact Amy Stewart at [email protected]
This position is not eligible for University sponsorship for employment authorization.
