Overview
On Site
Compensation information provided in the description
Full Time
Skills
IT management
Health care
Data Science
Software engineering
Advanced analytics
Deep learning
Generative Artificial Intelligence (AI)
Business analysis
Application development
Data Analysis
Requirements elicitation
Solution architecture
Data Visualization
Computer science
Data mining
Software development
Predictive modelling
Machine Learning (ML)
Software packaging
SQL
Stored procedures
Project management
Problem solving
Data
Analytics
Analytical skill
IMPACT
Artificial intelligence
Design
Scripting
Testing
Leadership
Reporting
Interfaces
Research
Metrics
Communication
Documentation
Publications
Statistics
Biostatistics
Economics
R
SAS
SPSS
Database
Fluency
Regression analysis
Clustering
Forecasting
Optimization
Algorithms
Python
Java
.NET
Presentations
SAP BASIS
Planning
Writing
Facilitation
DICE
Legal
Operations
Job Details
Job Description
Description
Become part of an inclusive organization with over 40,000 diverse employees, whose mission is to improve the health and well-being of the unique communities we serve.
Summary:
Principal Data Scientists are premier experts within UNC Health Care's Enterprise Analytics and Data Sciences organization regarding applying advanced analytical methods to improve health care delivery, cost, quality, and outcomes. Data Scientists use data science and software engineering techniques to create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders with a high degree of impact. Principal Data Scientist is a part of the Data Science job family within UNC Healthcare.
Experience and exposure to Deep Learning models, Generative AI and Responsible AI framework would be preferred.
Responsibilities:
Other Information
Other information:
Education Requirements:
Master's degree in Statistics, Biostatistics, Economics, Computer Science, Information Systems Management or a quantitative-related field.
Licensure/Certification Requirements:
No licensure or certification required.
Professional Experience Requirements:
If a Master's degree: Seven (7) years of relevant experience.
If a Doctorate degree: Five (5) years of relevant experience.
If a Bachelor's degree: Requires nine (9) years of relevant experience
Prior experience with R, SAS or SPSS, other data mining tools, databases, and computer programming.
Knowledge/Skills/and Abilities Requirements:
Theoretical fluency and working proficiency in the application of a broad array of statistical and quantitative methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms. Superior computer skills are required, with knowledge in relevant software packages and languages such as, but not limited to, SAS, R, Python, SQL, Java, and .NET. Prior experience with analytical programming (e.g. SAS, R) preferred. High proficiency in SQL Query programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and grouping. Track record in the development and delivery of analytical projects for customers, including scoping and presenting results. A high degree of professionalism, enthusiasm, autonomy and initiative on a daily basis. Ability to work independently in a fast-paced environment. Excellent project management, planning, communication, documentation, organizational, analytical and problem solving abilities. Advanced mathematical skills including statistics, data mining/machine learning, and optimization. Ability to interpret and summarize results of various analyses in a timely and meaningful way. Ability to communicate clearly and effectively (both orally, and in writing, and in presentations) to convey technical and business value propositions to non-technical audiences is required. Excellent interpersonal and facilitation skills in order to work with disparate, and at times contentious, groups effectively.
#DICE
Job Details
Legal Employer: NCHEALTH
Entity: Shared Services
Organization Unit: ISD Analytics
Work Type: Full Time
Standard Hours Per Week: 40.00
Salary Range: $61.79 - $77.24 per hour (Minimum to Midpoint)
Pay offers are determined by experience and internal equity
Work Assignment Type: Remote
Work Schedule: Day Job
Location of Job: US:NC:Morrisville
Exempt From Overtime: Exempt: Yes
This position is employed by NC Health (Rex Healthcare, Inc., d/b/a NC Health), a private, fully-owned subsidiary of UNC Health Care System, in a department that provides shared services to operations across UNC Health Care; except that, if you are currently a UNCHCS State employee already working in a designated shared services department, you may remain a UNCHCS State employee if selected for this job.
Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email [email protected] if you need a reasonable accommodation to search and/or to apply for a career opportunity.
Description
Become part of an inclusive organization with over 40,000 diverse employees, whose mission is to improve the health and well-being of the unique communities we serve.
Summary:
Principal Data Scientists are premier experts within UNC Health Care's Enterprise Analytics and Data Sciences organization regarding applying advanced analytical methods to improve health care delivery, cost, quality, and outcomes. Data Scientists use data science and software engineering techniques to create and deploy unique and innovative advanced analytics solutions that deliver actionable information to stakeholders with a high degree of impact. Principal Data Scientist is a part of the Data Science job family within UNC Healthcare.
Experience and exposure to Deep Learning models, Generative AI and Responsible AI framework would be preferred.
Responsibilities:
- Leads the design, execution, and interpretation of data/analytic studies - including sample size calculations, statistical methods selection, population profiling, segmentation, model development/tuning, and other analytical tasks.
- Leads full lifecycle development activities for designing, building, and maintaining analytical solutions. Organizes methods, plans, and data constructs for effective clinical and business analyses. Designs and develops innovative solutions through rigorous, engineered application development processes (i.e., scripting, coding, testing, installation, and configuration).
- Works with Data Science Leadership and Analytics leaders to identify and prioritize stakeholder needs and perspectives. Identify and advise on strategic product decisions.
- Designs and develops enterprise-class, advanced analytic models to understand and solve complex business problems.
- Creates models by analyzing large data sets from various sources and processes.
- Serve as analytics insights advisor to the Stakeholders, Analytics leaders, and other partners.
- Establishes scalable, efficient, automated processes for large scale data analyses and model development, validation, and implementation.
- Ensures consistent, meaningful reporting and output formatting across all deliverables.
- Drafts and presents analytic proposals, designs, and solutions to client stakeholders crafted to address recognized and unrecognized needs and opportunities grounded in domain knowledge.
- Interfaces with relevant stakeholders to assist in lifecycle activities such as requirements gathering, research activities, and solution architecture and design.
- Organizes methods, plans, and data constructs for useful clinical and business analyses.
- Authors analytic "stories" through data visualization and other information display techniques.
- Designs insight-driven metrics for analyses, scorecards, and other communication mediums.
- Documents statistical methodology, analysis, and interpretation for technical reports and publications.
- Cultivates understanding and knowledge of applicable healthcare domain(s) to translate needs and opportunities into conceptual, analytic, and technical designs.
Other Information
Other information:
Education Requirements:
Master's degree in Statistics, Biostatistics, Economics, Computer Science, Information Systems Management or a quantitative-related field.
Licensure/Certification Requirements:
No licensure or certification required.
Professional Experience Requirements:
If a Master's degree: Seven (7) years of relevant experience.
If a Doctorate degree: Five (5) years of relevant experience.
If a Bachelor's degree: Requires nine (9) years of relevant experience
Prior experience with R, SAS or SPSS, other data mining tools, databases, and computer programming.
Knowledge/Skills/and Abilities Requirements:
Theoretical fluency and working proficiency in the application of a broad array of statistical and quantitative methods such as description and inferential statistics, multivariate regression, clustering, neural networks, predictive modeling, forecasting, machine learning, data mining, and optimization algorithms. Superior computer skills are required, with knowledge in relevant software packages and languages such as, but not limited to, SAS, R, Python, SQL, Java, and .NET. Prior experience with analytical programming (e.g. SAS, R) preferred. High proficiency in SQL Query programming such as stored procedures, functions, temporary tables, parameterization, complex joins, and grouping. Track record in the development and delivery of analytical projects for customers, including scoping and presenting results. A high degree of professionalism, enthusiasm, autonomy and initiative on a daily basis. Ability to work independently in a fast-paced environment. Excellent project management, planning, communication, documentation, organizational, analytical and problem solving abilities. Advanced mathematical skills including statistics, data mining/machine learning, and optimization. Ability to interpret and summarize results of various analyses in a timely and meaningful way. Ability to communicate clearly and effectively (both orally, and in writing, and in presentations) to convey technical and business value propositions to non-technical audiences is required. Excellent interpersonal and facilitation skills in order to work with disparate, and at times contentious, groups effectively.
#DICE
Job Details
Legal Employer: NCHEALTH
Entity: Shared Services
Organization Unit: ISD Analytics
Work Type: Full Time
Standard Hours Per Week: 40.00
Salary Range: $61.79 - $77.24 per hour (Minimum to Midpoint)
Pay offers are determined by experience and internal equity
Work Assignment Type: Remote
Work Schedule: Day Job
Location of Job: US:NC:Morrisville
Exempt From Overtime: Exempt: Yes
This position is employed by NC Health (Rex Healthcare, Inc., d/b/a NC Health), a private, fully-owned subsidiary of UNC Health Care System, in a department that provides shared services to operations across UNC Health Care; except that, if you are currently a UNCHCS State employee already working in a designated shared services department, you may remain a UNCHCS State employee if selected for this job.
Qualified applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
UNC Health makes reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as applicants and employees with disabilities. All interested applicants are invited to apply for career opportunities. Please email [email protected] if you need a reasonable accommodation to search and/or to apply for a career opportunity.