Student Statistician - Remote based in the US

Conifer Health Solutions
10hRemote

About The Position

As a part of the Tenet and Catholic Health Initiatives family, Conifer Health brings 30 years of healthcare industry expertise to clients in more than 135 local regions nationwide. We help our clients strengthen their financial and clinical performance, serve their communities, and succeed at the business of healthcare. Conifer Health helps organizations transition from volume to value-based care, enhance the consumer and patient healthcare experience and improve quality, cost, and access to healthcare. Are you ready to be part of our solutions? Welcome to the company that gives you the resources and incentives to redefine healthcare services, with a competitive benefits package and leadership to take your career to the next step! The Student Statistician will leverage technical knowledge of research and statistical methods and understanding of health insurance business to develop clinical models and other quantitative methods. The Student Statistician will work closely with clinical informatics staff to ensure clinical models and other quantitative methods meet expectations of our internal and external users. The Student Statistician will focus on developing analytic solutions for models of value-based reimbursement. This will include development of measures, scoring methodologies, risk adjustments, and visualization of data. Experience with healthcare analytics and analysis of claims data would be a plus but is not required. The Student Statistician will be a temporary employee, working 40 hours per week for 12 weeks during the summer of 2026. The starting and ending dates are somewhat flexible to allow for candidates on different academic schedules.

Nice To Haves

  • Experience with healthcare analytics and analysis of claims data

Responsibilities

  • Leverage technical knowledge of research and statistical methods and understanding of health insurance business to develop clinical models and other quantitative methods.
  • Work closely with clinical informatics staff to ensure clinical models and other quantitative methods meet expectations of our internal and external users.
  • Focus on developing analytic solutions for models of value-based reimbursement.
  • Development of measures, scoring methodologies, risk adjustments, and visualization of data.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Intern

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service