Data Scientist Lead - Pediatric Clinical Research | Atrium Health CMC FT Days

Atrium Health; Charlotte (NC); On-site; USD 120,000 - 170,000; Full time

Job summary

Atrium Health in the United States seeks a senior data scientist with a PhD in Statistics or closely related field to deliver insights that improve patient care, experience, and costs. You will lead data-driven projects, develop scalable analytics pipelines, and communicate complex findings to executive teams.

Responsibilities include translating business questions into analytical challenges, building predictive models, and producing actionable reports for SVP/EVP stakeholders.

Qualifications

• Requires a PhD in Statistics, Epidemiology, Health Services Research, Economics, Operations Research, Applied Mathematics, or closely related areas.
• Minimum 10 years of professional experience or equivalent combination of education and experience.

Responsibilities

• With minimal guidance, use advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve healthcare quality, patient experience, and cost.
• Establish scalable, automated processes for large scale data analyses and model development, validation, and implementation.
• Proactively monitor and analyze complex systems to understand, diagnose, and improve key performance indicators.
• Partner with senior leaders across the organization to assess needs and define business questions.
• Translate advanced methodologies and complex results for non-technical audiences and conduct meetings with customers.

Skills

Advanced statistics

Data visualization

Algorithm development

Executive communication

Project leadership

Education

PhD in Statistics or closely related field

Tools

SAS

R

SQL

Job description

• 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 the System's standards and ethics
• Ability to translate advanced methodologies and complex results for non-technical audiences
• Conduct effective meetings with customers, including senior leaders

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 the System's 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 10 years professional experience or equivalent combination of education and experience that provide the skills and knowledge necessary to perform the job requirements. At least 10 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.