The University of Arizona Health Sciences (UAHS) is seeking a Director, Health Data Science Services (HDSS) to join the Center for Biomedical Informatics & Biostatistics (CB2). The Director of HDSS will report to the CB2 director and will be accountable defining and delivering systems, policies and processes concerning transport, management, and analysis of data from our clinical partners to support biomedical research. The Director will collaborate with clinical partners, IT professionals, investigators, faculty and trainees to create and develop innovative biomedical data solutions. The Director will serve as a technical expert for health data transport systems and protocols and as liaison for CB2 for technical connections to our healthcare partners.

Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to UA recreation and cultural activities; and more!

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• Plans and implements University-level biomedical research data architectures and strategies.
• Manages problems involving developing novel solutions to complex problems spanning multiple organizations in regulated environments.

Collaboration:

• Interacts with faculty to develop grant plans and proposals.
• Collaborate with IT on the configuration and activation of servers to house clinical data, as well as strategy and policy development.
• Work with other universities, corporations, and data management agreements and systems for large multi-site grants (e.g. the CTSA with UNM).
• Assist governmental entities to design and implement data set transfers.
• In collaboration with investigators, develops research strategies for collecting and managing clinical and patient level research data in support of grant applications and/or publication.

Operations:

• Negotiates, designs, manages, and monitors the UA HIPAA Honest Broker activities.
• Develops UAHS ETL strategy and manages ETL teams related to the availability of clinical data for research.

Management:

• Accountable for planning and evaluating performance, staff training and development, recruitment and may contribute to pay recommendations, subject to policies.
• Coaches and develops staff to enhance functional and leadership skills and expertise.
• Oversees research data analysts to support researchers.
• Develops annual budget recommendations for CB2 related to Honest Broker and clinical data management activities.

Policy and Procedure:

• Recommends, collaboratively develops and implements UAHS policies related to research uses of clinical data.
• Develops, implements, and maintains operational plans, programs and systems impacting UAHS.
• Oversees development and documentations of Standard Operating Procedures related to management of clinical and patient data to support research.
• Other duties as assigned.

Knowledge, Skills, and Abilities (KSAs):

• Knowledge and expertise in principles, practices and theories of biomedical informatics and data management.
• Knowledge of regulations (e.g. HIPAA) regarding biomedical data required.
• Knowledge of current healthcare and research data transport protocols (e.g. FHIR) highly preferred.
• Ability to adapt and execute UAHS plans and strategies.
• Ability to work effectively in highly diverse cross functional teams.
• Ability to adapt to rapidly changing regulatory and technical environments.

• Bachelor's degree or equivalent advanced learning attained through professional level experience required.
• Nine (9) years of related work experience, including five (5) years of managerial experience, or equivalent combination of education and work experience.
• Experience leading a team, project, program, or function is required.

• Master's degree.
• Experience with current healthcare and research data transport protocols (e.g. FHIR) highly preferred.
• Formal training in biomedical informatics or comparable data-intensive discipline.
• Experience with regulated clinical and/or research data needed.
• Experience in a clinical or biomedical research environment.
• Experience with Extract, Transform, and Load (ETL) of large datasets.