Note: The job is a remote job and is open to candidates in USA. UC Davis Health is a healthcare organization providing clinical, research, analytics, and data services. The Clinical Informatics Specialist will support Ophthalmology and Urology clinical research by retrieving, curating, validating, securing, and documenting complex clinical datasets, while developing data pipelines, improving analytics tools, and ensuring compliance with HIPAA and data governance practices.
Responsibilities
- 70% - Clinical Data Retrieval
- 30% - Process Improvement
- The Clinical Informatics Specialist (CIS) will work with the Ophthalmology and Urology departments to devise solutions that meet the reporting and analytical needs of the local community of UC Davis Ophthalmology and Urology clinical researchers
- They will support clinical research projects by extracting complex datasets from Epic’s relational databases as well as other nonproprietary relational databases
- The CIS will perform all tasks associated with these data retrieval projects including requirements gathering, data retrieval, curation, validation, secure data delivery and accounting of disclosures
- The Clinical Informatics Specialist will also participate in evaluating and enhancing analytics tools and improving data provisioning processes
- Protection of Personal Health Information (PHI) in line with HIPAA standards which may include de-identification of data, are imperative to the role
- The CIS will adhere to Enterprise Analytics and Data Services (EADS) best practices, including those outlined in the Cogito Tools Playbook, and proactively share assets and methodologies with other EADS teams to support enterprise-wide development of high-quality, reusable analytics across UC Davis Health
- The CIS will coordinate with team members, contribute to project design, develop and manage timelines for deliverables, and provide both incremental and final documentation as required
- The incumbent will architect and support data pipelines integrating sources such as RedCAP
- Responsibilities include PACS image extraction and data de-identification using AIR
Skills
- Obtain Cogito Fundamentals, Caboodle model, Clarity model certification within 6 months of hire
- Bachelor's degree or equivalent in Computer Science, Health Informatics, Public Health, or Health Care Administration or equivalent experience and/or training
- Minimum 5 years of experience in the analysis, retrieval and management of clinical data from a healthcare software system
- Minimum of 1 year of experience working with standardized healthcare codes (e.g., ICD, COT, LOINC, SNOMED)
- Experience with various office software tools such as Microsoft Project, Work, Excel, PowerPoint, and Visio
- Expertise with various programming languages and software such as SQL, stored procedures, XML Python, J2EE, VBA, Shell Script, Excel, Tableau, Crystal Reports, and Business Objects
- Familiar with the use of secure file sharing such as SFTP
- Highly proficient in Structured Query Language (MS SQL and Oracle)
- Working knowledge of Extract, Transform and Load (ETL) applications
- Highly proficient in Structured Query Language (SQL); experience with query tuning and optimization
- Excellent analytical skills to develop and/or comprehend complex technical, clinical, research, and fiscal information; ability to absorb information to make timely and sound decisions
- Demonstrated experience translating customer requirements into technical specifications and documentation
- Excellent organizational skills to determine and prioritize workload to ensure timely completion of tasks
- Identify and communicate problems in a collaborative, professional manner. Ability to deal with highly confidential, secured, and financial matters and comply with HIPAA and privacy rules
- Comfortable working independently with minimal direction in a dynamic and diverse environment
- Experience with various office software tools such as Microsoft Project, Word, Excel, PowerPoint, and Visio
- Oracle and MS SQL Server experience
- Advanced interpersonal communication skills to convey highly technical information to all levels of clinical users in a clear and concise manner
- Ability to use logic and flow diagrams to describe the functional processes of a system that both end-users and programmers can understand
- Familiarity with data governance and data stewardship principles and practices
- Must be able to work outside of standard 8-5 hours as needed to align with researcher's schedule (infrequent)
- EPIC Clinical Data model certification
- EPIC Kaleidoscope data model certification
- Epic Ambulatory data model certification
- Master's degree or equivalent in Computer Science, Health Informatics, Public Health, or Health Care Administration
- Prior experience with data extract from Caboodle and/or Clarity
- Familiarity with OMOP Common Data Model
- Familiarity with DataBricks
- Familiarity with visualization and analytical tools (Business Objects, Tableau, SSRS, etc.). Utilization of ServiceNow
- Prior experience in the analysis, retrieval and management of Ophthalmology and/or Urology data from a healthcare software system
- Experience extracting images from PACS and deidentifying images utilizing AIR
- Prior experience building data pipelines
- Working knowledge of metadata tagging practices and experience automating quality-control workflows
- Caboodle Data Model, Clarity Data Model Ambulatory data model and Kaleidoscope Data Model experience
- Experience with OMOP Common Data Model
- Expertise with various programming languages and software such as XML, Python, J2EE, Excel, Crystal Reports, and Business Objects
- Previous involvement in quality improvement or research projects related to hospital operations, ambulatory clinical operations, emergency medicine, trauma, etc. with a focus on Ophthalmology and/or Urology
- Prior background with clinical Ophthalmology and/or Urology research projects. Knowledge of healthcare operational practices and principals
- Practical application of HIPAA and privacy rules
- Awareness and understanding of University policies and procedures
- Experiencing building and support data pipelines integrating sources such as RedCAP
- Performed image extraction from PACS and conduct de-identification using AIR. Prior experience meta data tagging and automating quality control workflows
Benefits
- High quality and low-cost medical plans to choose from to fit your family's needs
- UC pays for Dental and Vision insurance premiums for you and your family
- Extensive leave benefits including Pregnancy and Parental Leave, Family & Medical Leave
- Paid Holidays annually as stipulated in the UC Davis Health Policies or Collective Bargaining Agreement
- Paid Time Off/Vacation/Sick Time as stipulated in the UC Davis Health Policies or Collective Bargaining Agreement
- Continuing Education (CE) allowance and Education Reimbursement Program as stipulated in the UC Davis Health Policies or Collective Bargaining Agreement
- Access to free professional development courses and learning opportunities for personal and professional growth
- WorkLife and Wellness programs and resources
- On-site Employee Assistance Program including access to free mental health services
- Supplemental insurance offered including additional life, short/long term disability, pet insurance and legal coverage
- Public Service Loan Forgiveness (PSFL) Qualified Employer & Student Loan Repayment Assistance Program for qualified roles
- Retirement benefit options for eligible roles including Pension and other Retirement Saving Plans
- Accepting applicants for hybrid or remote work.
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