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Atrium Health

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

charlotte, NC

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About this opportunity

Atrium Health lists this Data Scientist Lead - Pediatric Clinical Research | Atrium Health CMC FT Days opportunity in charlotte, North Carolina. Review the employer’s description below for duties, qualifications and application requirements.

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.

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Worksite address

charlotte, NC, 28245, US

Who can apply

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