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Analytic Sas Programmer - Remote 🔥


Company Profile

From its founding in 2011, RxAnte’s mission has been exceedingly simple: Get more from medicines. Today, with a team of 85 and offices in Washington, DC and Portland, ME, we are the leading provider of predictive analytics and targeted clinical programs that improve prescribing and adherence. With nearly 13 million lives under management, our patented solutions for health plans are proven to improve quality scores and lower costs by improving prescription drug use.


In 2019, RxAnte launched Mosaic Pharmacy Service (MPS), a wholly-owned subsidiary. Designed specifically to provide in-home pharmacy services to medically complex and vulnerable seniors, MPS will directly improve prescribing, adherence, and drug therapy outcomes for patients under our care.


RxAnte is backed by UPMC, the $19 billion health plan and hospital system.


We offer a flexible work environment with many of our employees working from home offices around the country.


Job Profile

The Analytic Programmer will be responsible for using SAS to analyze large healthcare claims data sets and to create innovative algorithms, processes, and models used throughout the company. As a member of the Data Science team, you will help develop solutions to a variety of challenging problems and will use predictive analytics and thoughtful summarization of complex data to improve the health of patients. The ideal candidate will have a passion for programming and discovering solutions hidden in large data sets and will thrive working remotely as a member of a small team in a fast-paced environment.


Specific responsibilities include:

  • Creating/maintaining clear and efficient SAS programs/macros
  • Researching, developing, and testing analytics/methods to support new product ideas
  • Building and summarizing large, complex data sets
  • Using modeling and data mining techniques to augment and improve existing predictive models
  • Designing and implementing statistical data quality procedures

Qualifications

  • Degree in Statistics, Math, Computer Science or related technical field; Bachelor’s required, Master’s preferred
  • 2+ years of experience using SAS
  • Ability to analyze data for trends and patterns and to interpret data with a clear objective in mind
  • Experience in advanced analytics, predictive modeling, and solving challenging business problems
  • Excellent problem-solving and logic skills
  • Ability to think creatively and to work well both as part of a team and as an individual contributor
  • Excellent written and verbal communication skills for coordinating across teams
  • Experience using healthcare data preferred

Benefits

From day one, we offer…


  • Fantastic health, dental, and vision insurance with an employer-funded HSA
  • Ample and flexible PTO
  • At least 10 company holidays per year
  • A generous 401k plan
  • Life, long-term, and optional short-term disability insurance
  • Support for ongoing professional development and training

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