Senior Biorepository Data Analyst

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.