This Clinical Data Analyst / Informatics Consultant will work in Clinical and Translational Science Institute (CTSI) supporting Biomedical Informatics.
Principle Duties
10% Communication: Work with investigators, research personnel and other stakeholders to promote informatics services.
â— Promote available CTSI Informatics services to investigators and research staff.
â— Coordinate user testing/usability evaluation of offered services and capture needs for potential future enhancements.
â— Ensure service delivery progress, delays and/or issues are regularly communicated with team management.
30% Informatics Consultation: Document project requirements, implementation plan, change management, execution and delivery.
â— Create consultation reports that capture project requirements, the implementation plan, as well as, the execution and delivery of the project or product.
â— Ensure that all informatics activities meet various compliance standards, IRB, data security, and contractual obligations of the University of Minnesota.
â— Follow standard operating procedures and adhere to team policies and best practices.
â— Strive for a high quality client experience and excellent user satisfaction.
â— Discuss and provide feedback related to opportunities for enhancement with team management.
â— Follow-up with investigators and staff to ensure delivered services meet users’ expectations.
â— Train users on data access procedures, analysis tools, and informatics infrastructure.
60% Technical: Query, extract, integrate, format, deliver and analyze data as per project needs.
â— Run feasibility analysis to ensure project requirements can be processed through available informatics services. Assess availability of raw data and provide information about data quality to investigators and research personnel.
â— Write code to query raw data and perform data transformation using tools such as SMMS, SQL Developer, SAS and/or R.
â— Explore, investigate and propose alternative ways of identifying patient cohorts when data elements are not clear or are unavailable.
â— Work closely with other team members to review execution plans and validate results.
â— Continually seek to improve knowledge of new clinical data sources.
All required qualifications must be documented in application materials.
Required Qualifications:
â— 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.
â— Experience working with messy real-world data.
â— Experience working independently in a rapidly changing scientific environment.
â— Proficiency with query development and report writing.
â— Demonstrated experience with T-SQL, PL/SQL, SAS and/or R programming languages.
â— Knowledge of healthcare data management concepts and regulatory/compliance policies (HIPAA, IRB, etc.).
â— Superior human relation skills, such as, the ability to use positive language communications to serve and influence our customers and stakeholders
â— Ability to participate in occasional domestic travel to attend conferences or training workshops.
â— Ability to support multiple projects simultaneously, prioritize assignments and work under limited supervision.
â— Comfortable providing rapid and timely response to urgent requests.
â— Comfortable following directions/instructions from supervisors and senior staff.
Preferred Qualifications:
â— Knowledge of clinical data and healthcare code sets and ontologies (ICD9/ICD10, CPT, NDC/RXNorm, LOINC, etc.).
â— Strong customer-facing experience, preferably with physicians, investigators, faculty/academic and research support staff.
â— Experience with data visualization tools (Qlikview, Tableau).
â— Research experience is a plus.
â— Exposure to statistical modelling and/or advanced analytics using R or Python.
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