Job Description Summary
The Department of Surgery at the Medical University of South Carolina seeks candidates for a Healthcare Analyst position in the Department of Surgery Innovation Center. The incumbent will be comfortable in navigating complex electronic health record environments including data extraction, independently working and performing complex technical analyses, and programming software to interface with end-users including patients and/or clinicians. This individual will report to Arman Kilic, MD, a heart surgeon with expertise in artificial intelligence and digital health who directs the innovation center. Duties will include data extraction, analytics, and data / software engineering. In addition, the candidate will have regular meetings with members of the innovation team including Dr. Kilic. The incumbent will have ample opportunities to present and publish academic work and have an integral role in innovation efforts stemming from the center.
The candidate will interface with our EPIC FHIR API to obtain EHR (electronic health record) data elements. Preferably, the candidate will also know how to experiment with NLP techniques, including LLMs (large language models), to extract relevant information not directly coded in structured EHR fields from clinical notes.
Entity
Medical University of South Carolina (MUSC - Univ)
Worker Type
Employee
Worker Sub-Type
Research Grant
Cost Center
CC001068 COM SURG CT Adult Cardiac Surgery CC
Pay Rate Type
Salary
Pay Grade
University-08
Pay Range
68,397.00 - 97,472.00 - 126,547.000
Scheduled Weekly Hours
40
Work Shift
Job Description
Pay Range:
$68,397.00 - $97,472.00 - $126,547.00 (min - mid - max)
Job Duties:
35% - Leadership role and supervision of residents, students, and others that are members of the innovation center working on EPIC data extraction and engineering (including directing meetings and communicating with such parties, and setting action plans, milestones and deliverables)
- Will attend weekly meetings with all innovation center group members and provide technical supervision of data extraction and data engineering efforts
- Will create and direct separate meetings ad hoc to provide additional oversight, supervision, and feedback regarding data extraction and engineering for various projects
- Will create education modules and example cases to educate team members on programming and data extraction methods
- Will set action plans, milestones, and deliverables for residents, students and others working on projects
35% - Data extraction using EPIC FHIR API for dataset building
- Will use existing skill sets in EPIC FHIR to build data extraction pipelines for databases needed for academic research, quality improvement, and innovation
- Will participate in weekly meetings with Dr. Kilic to identify priorities in data extraction projects and then execute on these projects
- Will lead projects in developing novel methods of extraction of raw data from the EPIC environment with the use of AI, NLP, and large language models
25% - Data engineering and computer programming of pipelines for creation of analysis-ready meta-layers of data
- In addition to extraction of raw data, the incumbent will develop and implement programming methods to clean the raw data and transform it into “analysis ready” datasets
- Will meet regularly with Dr. Kilic to identify mapping of raw data into specified data fields and formats
5% - Writing or editing manuscripts and abstract presentations
Preferred qualifications:
Advanced degree (masters or doctorate) or equivalent employment experience in healthcare analytics/IT, machine learning or a related quantitative field
Prior experience with healthcare APIs (and in particular Epic FHIR)
Experience and high level proficiency in programming and data analytics, including data visualization, data integration, machine learning, and predictive modeling
Experience and high level proficiency in using relevant tools and software such as Python, R, and/or SQL
Ability to work collaboratively in a team environment with faculty, surgical and data science trainees, and students
Ability to communicate effectively
Ability to supervise and teach others
Excellent interpersonal skills
Natural Language Processing
- Named entity recognition and extraction
- Experiments with large language models
- Regular expressions
- Knowledge of hardware options and capabilities
Experience in healthcare-related research
Prior experience in clinical workflows and clinical decision support
Additional Job Description
Minimum Requirements:
A bachelor’s degree and four years experience in automated information or communication system design, installation, operation, repair, sales or marketing. Related experience may be substituted for the bachelor’s degree on a year-for-year basis.
Physical Requirements:
(Note: The following descriptions are applicable to this section: Continuous - 6-8 hours per shift; Frequent - 2-6 hours per shift; Infrequent - 0-2 hours per shift) Ability to perform job functions in an upright position. (Frequent) Ability to perform job functions in a seated position. (Frequent) Ability to perform job functions while walking/mobile. (Frequent) Ability to work indoors. (Continuous) Ability to work in confined/cramped spaces. (Infrequent) Ability to bend at the waist. (Frequent) Ability to fully use both hands/arms. (Continuous) Ability to perform repetitive motions with hands/wrists/elbows and shoulders. (Frequent) Ability to reach in all directions. (Frequent) Possess good finger dexterity. (Continuous) Ability to maintain tactile sensory functions. (Continuous) Ability to lift, lower, push or pull objects 15 lbs. or more, unassisted. (Infrequent) Ability to maintain 20/40 vision, corrected. (Continuous) Ability to see and recognize objects close at hand. (Continuous) Ability to see and recognize objects at a distance. (Continuous) Ability to match or discriminate between colors. (Continuous) Ability to determine distance/relationship between objects; depth perception. (Continuous) Good peripheral vision capabilities. (Continuous) Ability to hear and/or understand conversations. (Continuous) Ability to perform gross motor functions with frequent fine motor movements. (Continuous) Ability to work in dusty areas. (Infrequent)
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The Department of Surgery is dedicated to ensuring the voices of our trainees, staff, faculty, and patients are heard; their thoughts are respected and their feelings are valued. We pride ourselves on creating an inclusive culture dedicated to helping shape the field of surgery to be more diverse. We value our residents, fellows, faculty, and staff of every race, religion, national origin, sexual orientation, gender identity, and disability. Our goal is to continue to expand our diversity within our talented team, which leads to even more inclusive patient-centered care. Please click on the link below to learn more about our diversity efforts.
https://medicine.musc.edu/departments/surgery/diversity-and-inclusion
If you like working with energetic enthusiastic individuals, you will enjoy your career with us!
The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need.
Medical University of South Carolina participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: http://www.uscis.gov/e-verify/employees
