Principal Statistician/Data Scientist

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

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.

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 applicant.accommodations@unchealth.unc.edu if you need a reasonable accommodation to search and/or to apply for a career opportunity.