ECU Health is a mission-driven, 1,708-bed academic health care system serving more than 1.4 million people in 29 eastern North Carolina counties. The not-for-profit system is comprised of 13,000 team members, nine hospitals and a physician group that encompasses over 1,100 academic and community providers practicing in over 180 primary and specialty clinics located in more than 130 locations.

The flagship ECU Health Medical Center, a Level I Trauma Center, and ECU Health Maynard Children’s Hospital serve as the primary teaching hospitals for the Brody School of Medicine at East Carolina University. ECU Health and the Brody School of Medicine share a combined academic mission to improve the health and well-being of eastern North Carolina through patient care, education and research.

Position Summary

Seeking an experienced data scientist responsible for the development, evaluation, and refinement of data science tools utilized by the information services Digital Health and Innovation team. To further develop and foster a culture of innovation across ECU Health, this position is part of a multi-disciplinary team that aims to identify, rigorously evaluate, and facilitate the implementation of emerging technology to achieve excellence across digital health, research, and innovation domains.

Responsibilities

Collaborative and creative team member critical in developing, evaluating, and deploying data science tools for ECU Health Digital Health and Innovation team projects spanning research, digital health, and quality initiatives within Information Services at ECU Health.
Demonstrated proficiencies in programming languages such as Python, R, and SQL.
Demonstrated expertise in extracting, processing, and analyzing large clinical datasets
Experience in the development and implementation of machine learning models, and data visualization
Skilled at preparing and presenting developed data sciences tools to executive leadership and stakeholder groups
Strong attention to detail to maintain data integrity, quality, and security standards including HIPAA
Works closely with the IS enterprise analytics team for alignment of data science reporting format, clinical definitions, and best practices, when appropriate.
Follows methodology and procedures set by Digital Health & Innovation team leadership and Project Management Office (PMO) to complete assigned tasks related to projects.

Minimum Requirements

Master's degree or higher in computer science, statistics, data science, or related field
3+ years experience working as a developer or data scientist within the healthcare sector.

Preferred Skills

Familiarity with data integrations in healthcare applications including HL7 and APIs
Strong understanding of data standards and terminologies in healthcare such as ICD-10, SNOMED, RxNorm, CPT, etc
Prior experience using natural language processing (NLP)
Prior experience with the clinical data structure of Epic Electronic Health Record (EHR), including data extraction from Caboodle and Clarity databases

Other Information

Location - Remote

General Statement

It is the goal of ECU Health and its entities to employ the most qualified individual who best matches the requirements for the vacant position.

Offers of employment are subject to successful completion of all pre-employment screenings, which may include an occupational health screening, criminal record check, education, reference, and licensure verification.

We value diversity and are proud to be an equal opportunity employer. Decisions of employment are made based on business needs, job requirements and applicant’s qualifications without regard to race, color, religion, gender, national origin, disability status, protected veteran status, genetic information and testing, family and medical leave, sexual orientation, gender identity or expression or any other status protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer, or against any individuals who assist or participate in the investigation of any complaint.