Clinical Data Principal Professional - University of Colorado Anschutz Medical Campus The Clinical Data Principal Professional is a mostly remote position that is responsible for overseeing General Internal Medicine’s clinical data programs that contribute to improving the quality of care delivered in the Internal Medicine practices. This includes having expert level knowledge regarding the composition and limitations of existing reports, having expert level knowledge about available data sources, creating new reports, validating data, synthesizing data, and presenting data for use in academic, operational, and clinical applications. Please be advised that this position is not eligible now or in the future for visa sponsorship. Key Responsibilities: Retrieve data from a variety of sources including but not limited to: EPIC, Power BI, Sharepoint, Epic Userweb, CU Medicine, A2E (administrative analysis environment), MyBI, and Health Data Compass, Consumer Assessment of Healthcare Providers and Systems (CAHPS) Interpret data for use by leadership and clinical teams, which includes identifying trends, anomalies, and gaps; making recommendations for overcoming data limitations; and making recommendations for how to apply the data Perform clinical effectiveness analyses Clean data for analysis by reviewing data for gaps, anomalies, outliers, and unexpected trends Develop and maintain standard operating procedures for clinical data programs Independently manage deadlines and produce top tier deliverables for clinical scholarly projects Create a system and oversee the preparation of IRB submissions for clinical improvement projects Work Location: Hybrid – This role is eligible for a hybrid schedule of 1-2 days per week on campus and as needed for in-person quarterly meetings in Aurora, CO. Hybrid arrangement can be highly flexible. Qualifications: Minimum Qualifications: A bachelor’s degree in healthcare related field, computer science, management/computer information systems, computer engineering, information technology or a directly related field from an accredited institution. Substitution: A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis. Five (5) or more years of professional experience in healthcare data analytics. Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications: Advanced education (i.e. Master’s degree, certificate, etc) in data analytics, digital transformation, or another related field. Certificate in Fundamentals of Data Visualization. Ten (10) or more years of professional experience in healthcare data analytics. Five (5) or more years of professional experience in project management. Professional experience at an Academic Medical Center in a role that supports the clinical, research, education, and community missions. Experience with data modeling. Experience with clinical quality metrics. Experience in web-based data analytics platform (i.e. PowerBI/Tableau). Experience with electronic medical records, Epic preferred. Experience using Power BI, Sharepoint, Epic Userweb, and Health Data Compass. How to Apply: For full consideration, please submit the following documents on http://www.cu.edu/cu-careers : 1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position. 2. Curriculum vitae / Resume. 3. Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address. Questions should be directed to: Patricia Colella, GIM Recruitment Specialist, patricia.colellacuanschutz.edu. Screening of Applications Begins: Immediately and continues until March 15, 2024 or until a competitive pool has been established. Interested candidates are encouraged to apply right away. Anticipated Pay Range: The starting salary range (or hiring range) for this position has been established as $72,084 – 91,691. The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level. J-18808-Ljbffr