Job type full-time
Full job description
From its founding in 2011, rxante’s mission has been exceedingly simple: get more from medicinesToday, along with our wholly-owned subsidiary mosaic pharmacy service, we are a remotely distributed team of over 130 and physical offices located in portland, me, and sterling vaTogether, we are the leading provider of predictive analytics, targeted clinical programs and high-value pharmacy services that improve prescribing and adherence for at-risk medicare, medicaid and commercial populationsWith nearly 13 million lives under management, our patented solutions for health plans and in-home pharmacy services for high-risk vulnerable seniors are proven to improve quality scores and lower costs by improving prescription drug use.
Currently, rxante is seeking a remotely located analytics programmer to join our growing advanced analytics teamThe ideal candidate will have extensive sas (with r is a plus) programming knowledge and, as a combination position (analytic and programming), have analytic experience working with pharmacy/medical/healthcare claimsReporting directly to the senior director of advanced analytics, this role will primarily support our client analytics areaWe are a multi-disciplinary team consisting of experienced programmers, analysts, statisticians, researchers and data scientists, all working to support core analytic and reporting needs for our stakeholders (major health plans, pharmaceutical companies, and provider-based organizations)Our work extends beyond traditional analytic team responsibilities and tackles challenging client questions important to improving clinical programs and client successOur custom analytics work involves both short- and long-term engagements, often beginning as ad hoc requests and eventually developing into longer-term projects and/or product deliverablesWe collaborate closely with other functional areas and, although our work can be fast-paced sometimes, it is very rewarding and critical to the company’s successWe value hard work and greatly support a healthy work-life balance.
Minimum requirements include a bachelor’s degree from an accredited college/university in statistics, biostatistics, economics, biology, mathematics or a related field
Preference given to applicants with a master’s degree
Minimum 2 years of relevant professional experience
Preference given to applicants with a background in applied methodologies, statistics and healthcare research / data
Working experience with large datasets/databases; strong preference given to applicants with prior medical / pharmacy claims experience
Ability to demonstrate strong sas programming skills; r and r markdown coding a plus
Experience with quantitative and qualitative analysis
Demonstrated experience in statistical analysis tools
Demonstrated analytic skills to problem solve effectively, draw relevant conclusions, and successfully devise/implement solutions
Ability to contribute independently and within/across teams
Ability to effectively work within shortened timelines when needed