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

Advocate Health and Hospitals CorporationCharlotte, NC
Onsite

About The Position

This role is for a Data Scientist Lead in Pediatric Clinical Research at Atrium Health CMC. The position is full-time, days, and is benefits-eligible. The Data Scientist Lead will use advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve healthcare quality, patient experience, and cost. They will establish scalable, efficient, and automated processes for large-scale data analyses and model development, validation, and implementation. The role involves proactively monitoring and analyzing complex systems to improve key performance indicators, translating research questions into analytical questions, and communicating analytical results into research solutions. Responsibilities include writing statistical methodology and results for technical reports and publications, manipulating and refining large databases, developing algorithms, creating data visualizations, developing metrics and scorecards, and partnering with senior leaders to assess needs and define business questions. The position requires leadership of multiple projects, accommodation of changing priorities, and the ability to influence senior leaders. Project management, including timeline creation and ensuring successful project completion within budget and standards, is also a key aspect. The role demands the ability to translate advanced methodologies and complex results for non-technical audiences and conduct effective meetings with customers, including senior leaders.

Requirements

  • 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
  • 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.

Nice To Haves

  • SAS certification preferred
  • experience with Enterprise Miner preferred.
  • Experience with healthcare claims, pharmaceutical, and EHR data preferred.

Responsibilities

  • 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

Benefits

  • Comprehensive suite of Total Rewards: benefits and well-being programs
  • Competitive compensation
  • Generous retirement offerings
  • Programs that invest in your career development
  • Paid Time Off programs
  • Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability
  • Flexible Spending Accounts for eligible health care and dependent care expenses
  • Family benefits such as adoption assistance and paid parental leave
  • Defined contribution retirement plans with employer match and other financial wellness programs
  • Educational Assistance Program

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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