Job Description
SVC HS Information Technology – Pennsylvania-Pittsburgh – (25001509)
Health Sciences IT (HSIT) is seeking a dynamic professional to fill a crucial role that assists study teams in identifying and obtaining clinical, claims, or administrative research data. The HSIT Research team provides support for the six schools of the health sciences. As such, the successful candidate will collaborate closely with research teams and their Principal Investigators (PIs) to recommend the appropriate data to answer research questions as well as the best avenue to obtain that data.
The clinician informaticist will work to understand our EHR, claims, and administrative datasets and must have experience with EHR systems and how the data is stored. They will work with multiple study teams concurrently, as well as with external data partners. The informaticist must understand the potential nuances of original EHR data entry in the clinical setting. They will recommend variables and provide documentation to study teams and the data managers who will extract the data for the study teams. In the event we do not have the data, the incumbent will work with data partners to define the data elements to retrieve and update documentation and mappings.
The ideal candidate will have experience working in a clinical setting and on research teams, with a certification or degree in informatics. They will understand common data models and the challenges with each, as well as how to map data to those CDMs. They must have experience with Epic. Experience with Cerner and data management is a plus but not required.
Bachelor’s Degree and either RN/NP/PA
Job Summary
Collaborates with clinicians to identify which EHR, Claims, or Administrative data elements should be used to best answer the research questions to achieve the program goals. Works with project teams to determine the variables that best meet the needs and advises the pros and cons of each.
Essential Functions
Collaborate with research teams to define data elements to support their research.
Understand EHR, Claims, and administrative health datasets.
Review regulatory documentation.
Work with external data partners to obtain knowledge to support researchers.
Do basic queries to learn more about our existing EHR datasets.
Be able to do chart reviews in Cerner and Epic to find data elements in databases.
Physical Effort
primarily Sedentary.
The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.
Assignment Category Full-time regular
Job Classification Staff.Nurse Informaticist II
Job Family Research
Job Sub-Family Clinical Research
Campus Pittsburgh
Minimum Education Level Required Bachelor’s Degree
Minimum Years of Experience Required 3
Will this position accept substitution in lieu of education or experience? Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.
Required Licensure/Certification RN, NP or PA
Additional details about Required Licensure/Certification The ideal candidate will have experience working in a clinical setting and on research teams, with a certification or degree in informatics. They will understand common data models and the challenges with each, as well as how to map data to those CDMs. They must have experience with Epic. Experience with Cerner and data management is a plus but not required.
Work Schedule 2 Days In Office; Monday – Friday, 8:30 a.m. – 5:00 p.m
Work Arrangement Hybrid: Combination of On-Campus and Remote work as determined by the department.
Hiring Range TBD Based Upon Qualifications
Relocation Offered No
Visa Sponsorship Provided No
Background Check For position finalists, employment with the University will require successful completion of a background check
Child Protection Clearances Not Applicable
Required Documents Resume
Optional Documents Not Applicable
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