Hybrid Senior Engineer, Analytics (SAS)
Arcadia · Remote (USA) / Arlington, VA / Boston, MA / Washington DC, Estados Unidos Da América · Hybrid
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Hybrid Senior Engineer, Analytics (SAS)
Arcadia · Remote (USA) / Arlington, VA / Boston, MA / Washington DC, Estados Unidos Da América · Hybrid
Candidatar-se agora
Oyster – Contrate globalmente com a Oyster. Simplifique o processamento de salários e a conformidade.
Patrocinado por OysterArcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
The Senior Engineer will join the Analytics team of a high-growth Population Health and Analytics software company. This role reports to the Manager of SAS Engineering, and will involve creation of high value analytics for Arcadia customers.
The ideal candidate loves processing data in SAS and wants to make a difference. We are seeking individuals who rely on data analysis to make decisions and are passionate about improving the way healthcare is delivered to millions of patients across the country. You should be eager to share SAS expertise to help Arcadia’s Analytics team build, optimize, and productionalize reoccurring analytics that fuel Arcadias Analytics Products
What Success Looks Like
In 3 months
- Gain familiarity with Arcadias SAS Common Claims model
- Work on our Commercial Claims Dataset to understand flow of data and organization structure
In 6 months
- Onboard onto CMS VRDC and understand workflows
- Work with other SAS engineers to understand and apply standard utility functions to optimize code
In 12 months
- Serve as an expert in terms of optimizing VRDC Code including understanding library structure, parallelization, environment restrictions and analytic subject matter
- Manage pipeline integration from analytic prototyping to productionalization and be able to provide guidance to analytics on best coding practices
