Research Assistant Professor in Medical Informatics

Position Summary
This Research Assistant Professor Faculty position is in the Division of Medical Informatics, Department of Biostatistics, within the School of Medicine.

The division of medical informatics seeks highly motivated individuals with a passion for software development, scientific discovery, and improving healthcare. Be part of a rapidly growing team developing informatics to further translational research (KUMC just received a NIH Clinical and Translational Science Award beginning June 2011) and serving a dynamic community (Kansas City was selected by Google as the first ultra high-speed fiber connected community).

Responsibilities will include developing informatics infrastructure capabilities, conducting research, and especially collaborative research. The position is expected to engage in collaborative research with other faculty from programs and departments within the School and University. The candidate will also be expected to collaborate with the State of Kansas and affiliate organizations such as the University of Kansas Hospital. The candidate may also be expected to teach courses for graduate students in biostatistics and other disciplines.

Key Roles and Responsibilities:

• Work as an independent informatician to provide collaborate research support related to the development of informatics solutions for KUMC researchers and affiliates.
• Possess the ability to design/develop key components of the informatics infrastructure, including terminology, data models, knowledge resources, dynamic end-user interfaces, and aggregations of data designed to support research.
• Participate in team based software development and system management.
• Evaluate clinical and research information systems and interventions at KUMC and affiliate organizations.
• Contribute to the writing of grants to support new projects and the writing of manuscripts to publish findings from ongoing project and system evaluations.
• Teach informatics courses for graduate students in biostatistics and other disciplines.
• Perform other duties as may be assigned by the division director or chair.

• PhD., M.D., or D.O. and training in biomedical informatics through advanced degree programs, fellowship training, or comparable experiences in knowledge management, clinical decision support, translational informatics and relevant informatics standards.
• The ability to promote effective teamwork in a rapidly changing multidisciplinary research environment.
• Superior interpersonal and communications skills as demonstrated by excellence in speaking, writing and listening.
• Informatics research experience with clinical, public health, and medical administrative systems.

• The individuals expertise should draw from the broader field of biomedical informatics to complement and expand the department's capabilities. Desirable experiences and domains include:
• clinical information system and clinical decision support
• public health informatics
• quantitative/qualitative informatics evaluation methods
• statistics, biostatistics and quality management methods
• Database and application development
• HL7 data integration/system architecture
• ontology management (UMLS, LOINC, SNOMED, FDB, RxNORM)
• data warehousing; the division's HERON clinical repository utilizes i2b2 (over 500 million observations) to store information from our affiliate clinical organizations
• clinical research informatics; both Velos and REDCap are used for clinical research information systems
• knowledge discovery and statistical learning methods
• natural language processing
• laboratory/pathology information systems especially in support of tissue management and cancer research

KUMC is an AA/EO Employer and does not discriminate on the basis of sex, including marital status, race/ethnicity, color, age, sexual orientation, gender expression, gender identity, national origin, creed, religion, ancestry, disability status as a Vietnam-era veteran, special disabled veteran, recently separated veteran or other protected veteran, or genetic testing and screening information.