Biomedical Informatics Data Analyst

at  University of Cincinnati

Current UC employees must apply internally via SuccessFactors > http://bit.ly/UCEMPL
Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to more than 50,000 students, 11,000 faculty and staff and 340,000 alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls “the most ambitious campus design program in the country.”
With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, nine straight years of record enrollment, worldwide leadership in cooperative education, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget tops $1.65 billion and its endowment totals $1.8 billion. The University’s overall regional economic impact exceeds $10.6 billion, paving the way for the future of Cincinnati.

REQUIRED EDUCATION

• Bachelor’s Degree Required in Information Technology, Computer Science, or related field.
• Six (6) years of relevant work experience and/or other specialized training can be used in lieu of education requirement.

REQUIRED EXPERIENCE

• Two (2) years of relevant experience

ADDITIONAL QUALIFICATIONS CONSIDERED

• Clear understanding of HIPAA and other laws that outline patient data privacy and security.
• Experience working with biomedical research databases, implemented in environments that use proprietary or commercial technologies like Microsoft SQL server or MySQL database and understanding of CQL (Clinical Query Language) and Structured Query Language (SQL).
• Experience in data modeling, ontologies, various data schemas used in biomedical research, and clinical data standards such as ICD-10, LOINC, RxNorm, etc. as well as network transport protocols including FHIR.
• Technical certification in the Epic data model is ideal.

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT

• Office environment/no specific unusual physical or environmental demands.

• Applies biomedical informatics technical standards, methodologies, and principles to research-specific program needs, objectives, and outcomes.
• Participate in the preparation of moderately to complex design specifications and functional documentations for assigned database research projects including data extraction from a range of sophisticated health information systems, such as Epic/Clarity data repository and other legacy systems in order to facilitate the needs of the clinical and translational research mission. May participate as part of a scrum team focused on database related delivery initiatives.
• Create complex functions, scripts, stored procedures, and triggers to support application development. Participate in database design and architecture to support clinical research development projects including OMOP development. Create architecture documentation when necessary.
• Collaborate with DTS in the creation and maintenance of moderately complex ETL/ELT solutions and integration of systems as they relate to data repositories including integration of disparate data sources.
• Follow established standards to help maintain the security of the data including strategies for managing and maintaining data standards and metadata.
• Legally and ethically handle export control of restricted and controlled data.
• Partner with UC-DTS professionals to resolve any related hardware, software, user access, or other issues.
• Participate in the development and maintenance of complex reports and visualizations used in research.
• Participate in peer knowledge sharing groups and collaborate with faculty/researchers to determine data and integration needs that also support participation/preparation of grant applications and scientific publications.
• Perform related duties based on departmental needs.