Develops guidance and technical plans to assist investigators and research personnel with REDCap form creation, project modifications, data exports, and other advanced analysis and project builds.
Supervises the work of students, volunteers, and/or interns, for REDCap development and data management activities.
Creates consultation reports that capture project requirements, the implementation plan, as well as, the execution and delivery of the project or product.
Ensures that all informatics activities meet various compliance standards, IRB, data security, and contractual obligations of the University of Minnesota.
Communicates closely with investigators and research staff to ensure delivered services meet users’ expectations.
Trains users on data access procedures, analysis tools, self-service tools, and informatics infrastructure.
60% Technical: Query, extract, integrate, format, deliver and analyze data as per project needs.
Leads requirements analysis and verification, ensuring that requirement statements are complete, consistent concise, comprehensible, traceable, feasible, unambiguous, and verifiable, and that they conform to standards.
Develops queries to extract and transform data using tools such as SSMS, SQL Developer, SAS and/or R.
Leads all feasibility analysis activities for SoD to ensure project requirements can be processed through available informatics services.
Develops technical documentation related to infrastructure enhancements; maintains and enhances the School of Dentistry Production Zone data dictionary.
All required qualifications must be documneted on application materials.
BA/BS and 6+ years of relevant analytical or quantitative work experience, or an advanced degree with a minimum of 4 years of experience in areas directly related to the position. Experience must include a minimum of three years of experience querying, extracting, formatting, and analyzing healthcare data such as inpatient/outpatient clinical records, labs, medications, provider data, and/or claims.
Experience working with messy real-world data.
Experience working independently in a rapidly changing scientific environment.
Proficiency with query development and report writing.
Demonstrated experience with T-SQL, PL/SQL, SAS and/or R programming languages.
Knowledge of healthcare data management concepts and regulatory/compliance policies (HIPAA, IRB, etc.).
Superior human relation skills, such as, the ability to use positive language communications to serve and influence our customers and stakeholders
Ability to participate in occasional domestic travel to attend conferences or training workshops.
Ability to support multiple projects simultaneously, prioritize assignments and work under limited supervision.
Comfortable providing rapid and timely response to urgent requests.
Comfortable following directions/instructions from supervisors and senior staff.
Knowledge of clinical data and healthcare code sets and ontologies (ICD9/ICD10, CPT, NDC/RXNorm, LOINC, etc.).
Strong customer-facing experience, preferably with physicians, investigators, faculty/academic and research support staff.
Experience with data visualization tools (Qlikview, Tableau).
Research experience is a plus.
Exposure to statistical modelling and/or advanced analytics using R or Python.
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.