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University of Utah Health

Data Scientist

University of Utah Health, Salt Lake City, Utah, United States, 84193

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University of Utah Health Overview

As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA Overview

As a patient-focused organization, University of Utah Health exists to enhance the health and well-being of people through patient care, research and education. Success in this mission requires a culture of collaboration, excellence, leadership, and respect. University of Utah Health seeks staff that are committed to the values of compassion, collaboration, innovation, responsibility, integrity, quality and trust that are integral to our mission. EO/AA

The Data Scientist (DS) supports inferential and predictive analytics for healthcare operations.

Hybrid role: Candidates must be local or willing to relocate. Preferred: Experience in healthcare and statistics/data science consulting.

Projects This Role Could be Involved in Within First 6 Months of Hire:

Improving efficiency of surgical operations. Predicting hospital readmissions for oncology patients and assessing associated interventions. Updating old production code to align with current standards.

Corporate Overview: The University of Utah is a Level 1 Trauma Center and is nationally ranked and recognized for our academic research, quality standards and overall patient experience. Our five hospitals and eleven clinics provide excellence in our comprehensive services, medical advancement, and overall patient outcomes.

Responsibilities

Develop and maintain relationships with stakeholders across the organization. Provide statistical and data science expertise on clinical and system operations quality improvement projects. Collaborate with healthcare providers and business users to scope out and define project needs. Craft analysis plans to address project goals. Procure, validate, and prepare data for analysis. Fit and evaluate predictive/prescriptive/inferential solutions utilizing industry best practices. Communicate results and methodology clearly to both technical and non-technical audiences. Aid in workflow integration and evaluation of project impact Build and improve sustainable data pipelines. Knowledge / Skills / Abilities

Strong database programming skills (e.g. SQL) Strong programming skills in R (preferred) or Python Familiarity with statistical analysis of both structured and unstructured data Excellent inter-personal skills Excellent project management skills, including the ability to simultaneously manage multiple projects

QualificationsRequired

Qualifications

Master's degree in Computer Science, Information Systems, Engineering, Math or related field or equivalency. Two years of experience with data preparation/modeling using SQL and R/Python.

Preferred

Qualifications (Preferred)

Experience working with electronic medical record data from Epic. Excellent interpersonal and project management skills. Systems thinking mindset Experience working with Docker. Experience with Cognitive Computing and Cogito

Working Conditions and Physical Demands

Employee must be able to meet the following requirements with or without an accommodation.

This is a sedentary position that may exert up to 10 pounds and may lift, carry, push, pull or otherwise move objects. This position involves sitting most of the time and is not exposed to adverse environmental conditions.

Physical Requirements

Color Determination, Listening, Manual Dexterity, Near Vision, Reaching, Sitting, Speaking, Standing, Walking

Seniority level

Seniority level

Entry level Employment type

Employment type

Full-time Job function

Job function

Engineering and Information Technology Industries

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