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.