Clinical Data Analyst / Informatics Consultant

College of Charleston • Minneapolis, MN, United States • $200k - $250k / year • 2w ago

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.
- Promote available CTSI Informatics services to investigators and research staff.
- Coordinate user testing/usability evaluation of offered services and capture needs for potential future enhancements.
- 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.
- Create consultation reports that capture project requirements, the implementation plan, as well as, the execution and delivery of the project or product.
- Ensure that all informatics activities meet various compliance standards, IRB, data security, and contractual obligations of the University of Minnesota.
- Follow standard operating procedures and adhere to team policies and best practices.
- Strive for a high quality client experience and excellent user satisfaction.
- Discuss and provide feedback related to opportunities for enhancement with team management.
- Follow-up with investigators and staff to ensure delivered services meet users’ expectations.
- 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.
- 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.
- Write code to query raw data and perform data transformation using tools such as SMMS, SQL Developer, SAS and/or R.
- Explore, investigate and propose alternative ways of identifying patient cohorts when data elements are not clear or are unavailable.
- Work closely with other team members to review execution plans and validate results.
- Continually seek to improve knowledge of new clinical data sources.

All required qualifications must be documented in application materials.

Required Qualifications:
- 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.

Preferred Qualifications:
- 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.

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