Data Systems Integration Analyst - Hybrid - 137456

The Altman Clinical and Translational Research Institute (ACTRI) is an NIH-funded Clinical and Translational Science Award (CTSA) institution that provides the infrastructure to support high-quality and innovative translational research. ACTRI's vision is to translate scientific discoveries into improved health by delivering education, training, and infrastructure for clinical research in the San Diego area and beyond. Mike Hogarth, M.D. and Davey Smith M.D. are the principal investigators on ACTRI's CTSA grant. The ACTRI functions under the direction of Dr. Smith, M.D., Director and Assistant Vice Chancellor of Clinical and Translational Research at UC San Diego

The Biomedical Informatics division of ACTRI provides leading edge information systems and expert management, in support of clinical and translational research. Computational services are hosted within a HIPAA compliant secure research cloud, including integrations with health system EHR, CTMS, informatics and clinical data warehouse systems. The ACTRI unit for Biomedical Informatics (BMI) is a leader in using, innovating and providing informatics technologies and services to enable advances in healthcare research and collaborations. Focusing on data-oriented builds and support of applications such as Epic EHR and Research suite Velos CTMS, Biospecimen, REDCap, and AWS HIPAA cloud. ACTRI-BMI serves as a UCSD and national resource forclinical data informatics expertise, consultation and collaborations.

This role utilizes clinical research process knowledge and technical expertise in enterprise-level clinical applications to enhance clinical research service delivery and fulfilment of major CTSA clinical research initiatives. As a vital member of the ACTRI Biomedical Informatics department, this position is focused on leading the integrations and support of clinical research leveraging the Epic Research Suite and the institutional clinical research IT infrastructure, for a large-scale multi-site research clinic environment. Incumbent offers expert guidance on utilizing Epic Research Suite and other clinical research information systems for complex research operational workflows in collaboration with the Health Sciences Clinical Trials Office (CTO) for development of enterprise research services in collaboration and support of clinical research units (CRU). This role also has direct responsibilities in the content and service builds for Epic Research module related protocols and data models that integrate with CTMS services.

The Data Systems Integrations Analyst applies advanced technical expertise for system integration and supports the needs of the ACTRI groups, and related multiple health research and development activities. As a seasoned, experienced research data systems and applications professional resolves a wide range of issues that are complex in scope.

Applies skills as a seasoned, experienced data / information management professional with full understanding of industry practices and campus / medical center / OP and department methodologies, policies and procedures to resolve complex and wide ranging issues where analyses of situations or data requires a review of a variety of factors. Demonstrates competency in selecting methods and techniques to obtain solutions.

• Seven years of related experience, education/training, OR a Bachelor's degree in related area plus three years of related experience/training

• Advanced experience with content building and integration for Epic Research services and related modules for clinical trials services; Research Module, MyChart, Cadence, Ambulatory or Cosmos etc.

• Self-motivated and works independently and as part of a team. Very strong desire to work in a multi-faceted applications environment as an effective team member with the ability to follow through on assignments with minimal direction, including research issuesand problems to develop recommendations and implement agreed upon solutions.

• Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. Advanced knowledge of data design and engineering concepts in environment with complex use cases and strict regulatory requirements.

• Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Ability to prepare effective written technical and training documentation and the ability to create documentation using a wide variety of utilities including a wiki, word processing software, and text editors.

• Familiarity with data quality and governance issues and requirements.

• Strong organizational skills. Ability to work effectively on multiple projects in a dynamic environment, under pressure, and subject to constantly changing priorities.

• Demonstrated strong problem-solving skills. Able to learn effectively and meet deadlines. Very strong analytic, inductive and deductive reasoning skills with the ability to observe and evaluate the outcomes ofa problem to identify the key issues and redirect effort.

• Ability to prepare data models unassisted.

• Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail. Advanced knowledge of design patterns, security methods and protocols, and systems analysis as they apply to datasystems analysis and development.

• Familiarity with data model patterns in one or more common business or academic domains.

• Familiarity with logical data design and data mapping or data conversion.

• Ability to represent relevant information in abstract models.

• Thorough knowledge of data management systems, practices and standards.

• Working knowledge of data ETL methods and techniques for datasets of varying complexity involving data paths spanning multi-tiered systems and protocols.

• Thorough knowledge of relevant rules and regulations.

• Demonstrated expertise and proven ability to design, develop, and apply support workflows and deployment of systems for complex web-based computing applications.

• Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated service orientation skills.

• Epic EHR Certifications and experience.

• Working knowledge and experience with relational databases and SQL language.

• Employment is subject to a criminal background check.