Arbital Health is transforming the US healthcare system by shifting from fee-for-service to value-based care agreements.
The company is building a neutral platform for customers to design, measure, and adjudicate value-based care agreements.
The role is for a data engineer or data scientist to enhance and scale the core data pipelines that process healthcare financial data.
Responsibilities include building scalable data pipelines and warehouses using AWS and Databricks, automating data workflows, ensuring data accuracy and compliance, collaborating with full-stack engineers and actuarial coders, and deploying machine learning models.
The ideal candidate should be excited about building a healthcare data and analytics platform to reduce healthcare costs in the US.
Requirements:
Candidates must have experience in data-intensive, SaaS platform development projects.
A demonstrated ability to scale new platforms into enterprise products is required.
Candidates should have a history of quickly understanding complex modeling workflows and the overarching needs driving them.
The ability to produce high-quality code and build exceptional products is essential.
A high level of attention to detail is necessary.
Candidates must be able to work under minimal supervision and be accountable for specific objectives in a rapidly changing startup environment.
A passion for improving and innovating is important.
Candidates should be able to work hybrid from the San Francisco Bay Area, with a preference for those who can work in-office two days a week, though highly qualified remote candidates willing to travel for collaboration will be considered.
Benefits:
Arbital Health offers generous equity grants of ISO stock options.
The company provides an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance.
There is a 4% 401(k) match available.
Employees enjoy flexible PTO, a weeklong winter shutdown, and 10 holidays each year.
The work environment is flexible, blending 1-2 days a week in-office and collaboration weeks 1-3 times per year.
Quarterly team offsites are organized.
Employees have the opportunity to build a critical software platform that accelerates the transition to value-based care in the American healthcare system.
