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Senior Data Scientist - Surgical Services

This job posting is no longer active.

Charlotte, NC, United States
Job ID: 111901
Job Family: Research Services
Status: Full Time
Shift: Day
Job Type: Regular
Department Name: 31761010540412-Research


Job Summary

Conducts research using advanced statistical and computational methods to improve quality, cost, and the overall experience of care provided. Expertise in statistical methodology, computation, research, healthcare, and communication. Requires regular and frequent exercise of independent judgment and decision-making in sensitive situations. 

Essential Functions

  • With minimal guidance, use advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve the quality, patient experience, and cost of healthcare
  • Establish scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation
  • Proactively monitor and analyze complex systems to understand, diagnose, and continuously improve key performance indicators
  • Expertise in problem definition, i.e., able to translate business/research questions into analytical questions and translate analytical results into business/research solutions
  • Write statistical methodology and results for technical reports and publications
  • Manipulate, combine, and refine large databases to produce information suitable for analysis
  • Develop algorithms for data analysis and write computer code to implement them
  • Create graphics for data visualization and information display
  • Develop metrics and scorecards
  • Partner with senior leaders (SVP, EVP) across the organization to assess needs and define business questions
  • Able to take leadership of multiple projects concurrently and accommodate frequent interruptions and changing priorities
  • Able to influence senior leaders (SVP, EVP) to take action based on analytical insights
  • Creates timelines for project management with little or no assistance. Ensures successful completion of assigned projects on schedule, within budget, and in accordance with standards and ethics
  • Ability to translate advanced methodologies and complex results for non-technical audiences
  • Conduct effective meetings with customers, including senior leaders


Physical Requirements
Works in an office environment, sitting at a desk, working with a computer, and talking on the telephone. On occasion, requires standing, walking and traveling in personal car to other facilities. Also occasionally requires the carrying of up to 20 pounds of materials (files, projectors, laptops).

Education, Experience and Certifications

Requires a PhD in Statistics, Epidemiology, Health Services Research, Economics, Operations Research, Applied Mathematics, or closely related areas . Minimum of 7 years professional experience or equivalent combination of education and experience that provide the skills and knowledge necessary to perform the job requirements. At least 7 years of experience with SAS and/or R, other data mining tools, databases, and computer programming required; SAS certification preferred; experience with Enterprise Miner preferred. Experience with healthcare claims, pharmaceutical, and EHR data preferred. Excellent oral, written, and technical communication skills and a solid command of the English language; Demonstrated ability to communicate complex relationships and concepts using data to drive change. Experience in group presentation and public speaking.

Additional Essential Functions: 

  • Query, manipulate, combine, and refine large databases - including electronic medical record data warehouses - to produce information suitable for analysis.
  • Prepare reports suitable for a variety of audiences and disseminate results, with the ability to translate advanced methodologies and complex results for non-technical audiences.
  • Provide mentoring and supervision to data analyst colleagues, faculty, and medical or surgical learners.
  • Liaison with teammates in Information and Analytics Services (IAS) and other information technology departments.

Additional Training and Certifications:

  • Badge or Certification in any Epic data model (Caboodle or Clarity), or ability to obtain these credentials within one month of onboarding is preferred.