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

Advocate Aurora Health; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

Advocate Health is seeking a Senior Data Scientist to apply advanced statistical and computational methods to deliver insights that improve healthcare quality, patient experience, and cost guidance. You will build scalable analytics processes, monitor complex systems, and translate business questions into actionable insights.

The role requires a PhD in a relevant field and at least 10 years of experience with SAS/R, data mining, and healthcare data, with strong communication and leadership

Qualifications

• 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.
• At least 10 years of experience with SAS and/or R, other data mining tools, databases, and computer programming.
• Experience with healthcare claims, pharmaceutical, and EHR data preferred.

Responsibilities

• Use advanced statistical and computational methodologies to deliver insights for healthcare quality, patient experience, and cost.
• Establish scalable, automated processes for large-scale data analyses and model development.
• Proactively monitor and analyze complex systems to improve KPIs.
• Translate business questions into analytical questions and translate results into solutions.
• Write statistical methodology and results for reports and publications.
• Manipulate large databases to produce analysis-ready information.
• Develop algorithms and write code to implement them.
• Create graphics for data visualization and information display.
• Develop metrics and scorecards.
• Partner with senior leaders to define business questions and assess needs.
• Lead multiple projects concurrently and influence senior leaders to take action.

Skills

Statistical analysis

Data visualization

Project leadership

Communication skills

Stakeholder engagement

Education

PhD in Statistics

Tools

SAS

R

Enterprise Miner

Job description

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.