Data Scientist

Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We believe that the biggest problem facing value-based care is the inability for parties to accurately measure and forecast contract performance. We are building a generational company that is positioned to solve this. Through our unique depth of technology and actuarial insight, Arbital Health enables payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.

We were co-founded by Brian Overstreet and Travis May (founder & former CEO of LiveRamp and Datavant, the two biggest data companies of the last 20 years), and are backed by Transformation Capital and other leading investors. In our first 18 months, Arbital Health has established itself as a trusted partner for over 40 payers, providers, and other stakeholders looking to navigate the complexities of risk-based contracting.

We hire individuals who are smart, nice, and get things done. We invest in hiring high potential and humble individuals who thrive in fast-paced environments and can rapidly grow their responsibilities as we continue to accelerate our growth.

Is this role right for you?

As a Healthcare Data Scientist specializing in AI, you'll play a pivotal role in shaping the future of value-based healthcare (VBC) through intelligent automation. If you are excited about shaping a new healthcare analytics platform that will help reduce the cost of healthcare in the US, and the following matches your skills, experience, and interests, keep reading!

●      Strong proficiency in Python or R

●      Hands-on experience with >1M row, regulated data sets (healthcare, finance, etc.)

●      Deep experience with generative AI, LLMs, and machine learning models (training, fine-tuning, or evaluation, and deployment)

●      Thrives in a collaborative environment, loves to take ownership and accountability

• Collaborate with Engineering and Product to design, train, and test large language models (LLMs) or RAG frameworks and other ML models for high-value use cases, and ensure their accuracy
• Provide cross functional support to design, validate, and scale AI-driven capabilities on a mission critical platform
• Analyze large healthcare datasets (claims, revenue, eligibility) to support client engagements and product strategy
• Maintain and enhance our feature variable library and grouper logic
• Ensure secure and compliant handling of regulated data (e.g., PHI, HIPAA, financial data)
• Provide clear, actionable bug reports and support QA efforts
• Maintain well-documented, reproducible codebases for various complex data projects
• Provide guidance for ethical use of GenAI and machine learning models
• Create and own update processes for model refreshes
• Maintain cleaned and enriched benchmark and de-identified datasets for use in various applications

• 5+ years in data science, machine learning, or AI-related roles
• Deep experience with generative AI, and  LLMs, and machine learning models (training, fine-tuning, or evaluation, and deployment)
• Experience with distributed computing frameworks; familiarity or proficiency in Apache Spark (PySpark, Spark SQL) is a plus
• Strong proficiency in Python or R
• Hands-on experience with large, regulated data sets (healthcare, finance, etc.)
• Proven track record of success in dynamic, fast-paced environments
• Excellent communication, collaboration, and problem-solving skills
• Experience using Git/GitHub for version control and collaborative analytics is a plus.

• Actuarial background or credentials
• Contributions to open-source LLM or ML projects
• Master’s or PhD in a quantitative field
• Experience with value-based care models or healthcare analytics

Why Join Us?

We are assembling a team of creative, talented visionaries seeking to build a new technology that will change healthcare. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.

We Offer:

•  Generous equity grants of ISO stock options

•  We offer an exceptional benefits package with high employer-paid contributions for health, dental, and vision insurance

•  4% 401(k) match

•  Flexible PTO, a weeklong winter shutdown, and 10 holidays each year

•  Flexible hybrid work blending 1-2x week in-office (SF-area team) and collaboration weeks 1-3x per year (all employees). We are open to remote workers outside the SF Bay Area who are willing to travel for in-person collaboration up to 20% time.

•  Quarterly team offsites

•  The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care