Entry Level Clinical Informatics Specialist Jobs in Vermont

Department

BSD CRI - Data Warehouse

About the Department

The Center for Research Informatics (CRI) is an organization within the Biological Sciences Division (BSD) that provides informatics resources and services to the BSD faculty. Five main services comprise the CRI's operations: applications development, bioinformatics, scientific computing, data science and AI, and clinical research data warehousing. Through these service lines, the CRI enables research of the highest scientific merit and advances the state of the art of clinical and translational informatics. The CRI recruits exceptional candidates looking to leverage state-of-the-art technologies to deliver innovative and exciting solutions to biomedical researchers.

Job Summary

The Clinical Research Informaticist will be embedded in the Department of Medicine's Section of Cardiology and will be responsible for meeting with faculty and research teams to develop and design functional project specifications for research data requests. The Clinical Research Informaticist will spend 50% of time meeting with faculty and research teams, 30% of time developing specifications, and 20% of time improving processes and workflows to optimize the CRI's intake process as well as supporting various administrative tasks affiliated with the acquisition and positioning of new data sources. This position is 80% funded through Cardiology and 20% through the Center for Research Informatics.

Responsibilities

• Meet with faculty, residents, clinicians, and students (clients) to develop and design functional project specifications for data requests from the Clinical Research Data Warehouse (CRDW) and the MDClone application.

• Act as a liaison between clinicians, researchers, and data stewards to streamline data acquisition processes.

• Understand data extractions and identify new data sources for the data warehouses and affiliated data marts, both local and distributed.

• Assist in the preparation of self-service data from various applications.

• Preparation of scientific publications, presentations, and grant proposals.

• Oversees the prioritization and portfolio of Cardiology Data Center projects in partnership with the faculty lead and the CRI's Center Director; includes the planning, design, implementation, and completion of all projects

• Provide ongoing feedback and support to clients to understand how available data sources align with project needs while working with the team to facilitate an understanding of client's goals.

• Ensure that activities dependent upon the CRDW and self-service applications adhere to relevant regulations, industry standards, and internal policies.

• With moderate direction from others, conducts business process analyses, needs assessments, and preliminary cost/benefits analyses. Uses basic understanding of applicable business processes, systems, and industry requirements.

• Implements functional, system, and program specifications. Assists in revising existing system logic difficulties as necessary, under the direction of more experienced colleagues.

• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Certifications:

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Preferred Qualifications

Education:

• Advanced degree in a health-related field.

Experience:

• 1 year of clinical experience.

• Experience with the clinical research processes.

• 6 month experience with clinical quality improvement processes and project management, cardiology preferred.

• Experience w/ AHA Get With the Guideline program.

• Experience with AAMCs.

• Experience navigating a matrixed organizational structure.

• Experience translating between clinical and data ontologies.

• Experience facilitating groups with multiple stakeholders.

• Experience investigating data issues and working with a cross-functional team for problem resolution.

• Experience with statistical software such as R, Stata, and SAS.

• Experience with Tableau or other business intelligence tools.

Certifications:

• Epic Cosmos Super User certification required w/in 6 months of employment.

• MDClone Super User certification required w/in 6 months of employment.

  Epic Report Builder, Epic Caboodle, or other related Epic certifications a plus.

• RN, DNP, MD, or other clinical licensure a plus.

Technical Skills or Knowledge:

• Knowledge of healthcare data including ICD-9, ICD-10, and CPT.

• Academic medical center knowledge.

• Medical terminology knowledge.

Preferred Competencies

• Ability to work collaboratively with cross-functional teams including but not limited to bioinformaticists, software developers, system administrators, and hospital reporting teams.

• High level of problem solving and decision-making skills.

• Excellent communication skills, working directly with clients and the team to translate clinical research deliverables into technically viable data extraction needs.

• Ability to understand faculty research requirements and translate them to technologies.

• Ability to develop functional project specifications.

• Ability to elicit cooperation and maintain productive working relationships with internal and external stakeholders.

• Ability to translate technical information to non-technical audiences.

• Critical thinking and multi-tasking skills with the ability to manage multiple projects

• Time management skills.

• Proficiency in creating technical specifications, business cases, and other development-related documentation.

• Proficiency in MS Word, MS Excel, and web-based applications.

• Proficiency w/ AgileMD software.

• Proficiency w/ REDCap EDC software.

• Ability to manage, interpret, and present data.

• Self-motivated given appropriate direction for goals. Must be able to work autonomously in a sometimes ambiguous and changing environment.

• Intellectual curiosity.

• Energized by working through complex problems

Application Documents

• Resume (required)

• Cover Letter (preferred)

The University of Chicago uses AI-assisted tools to streamline and augment some recruitment processes; however, AI is not used to make hiring decisions.
When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Information Technology

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

FLSA Status

Exempt

Pay Range

$70,000.00 - $100,000.00

The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

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