Data Analytics
- Gathers, structures and analyzes data from various databases and sources, performs statistical and/or mathematical programming, develops reports and visual representations.
- Collaborates with interdisciplinary teams to design and implement research projects, with emphasis on phenotyping and clinical data analytics.
- Extracts, cleans, and organizes biomedical data from multiple sources, including biospecimen, genomic data, imaging data, research study data, and clinical data.
- Queries clinical, biospecimen, genomic and other biomedical database to support research questions and operational reporting needs.
- Utilizes software (e.g., R, Python, SAS, etc.) to conduct advanced data analysis and support phenotypic data insights.
Data Management
- Creates and maintains databases and tools to store and manage data that meet research needs as well as regulatory and organizational standards.
- Develops and maintains data interfaces and APIs to support optimized data workflows.
- Develops and updates documentation, standard operating procedures, and guidelines for systems and databases.
Data Quality and Regulatory Compliance
- Participates in data quality audits and implements improvements in collaboration with the Data Quality, and U of A regulatory teams.
- Ensures data integrity, security, and confidentiality following HIPAA regulations and organizational policies.
- Demonstrates an understanding of and proficiency with the application of all compliance and reporting requirements respective HIPAA and OHRP.
- Advises and guides PIs and other investigators on data regulatory issues.
- Complies with all data and operational standards of the IT, BI and Informatics Departments.
Researcher Support
- Provides training for staff involved in data management and research analytics, supporting capacity-building efforts.
- Provides expert level consultation services to researchers.
Other
- May provide mentoring or supervision to students, or junior research staff.
- Make recommendations for improvement to management.
Knowledge, Skills, and Abilities:
- Knowledge of HIPAA and human subjects research data regulatory requirements.
- Ability to gather, listen and respond to feedback to ensure the data system meets stakeholder needs.
- Strong organizational skills, ability to work independently and meet project deadlines.
- Strong data query analysis skills including SQL..
- Knowledge of healthcare coding systems (e.g., ICD, LOINC, RxNorm, CPTetc.).
- Knowledge of Epic data structures and query tools (e.g. clarity, caboodle, cogito).
- Knowledge of biobanking software and workflows.