Department:

85210 Greater Charlotte Research and Other Sponsored Programs - Academic Pediatric Administration

Status:

Full time

Benefits Eligible:

Yes

Hours Per Week:

40

Schedule Details/Additional Information:

Monday - Friday 40-hour work week

Pay Range:
$63.45 - $95.20

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.

Compensation

• Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training
• Premium pay such as shift, on call, and more based on a teammate's job
• Incentive pay for select positions
• Opportunity for annual increases based on performance

Benefits and more

• 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

Note: Eligibility for programs listed above may depend on your FTE or status (e.g., full-time, part-time, per diem, temporary, etc.); please ask a Recruiter for more information during an interview.