AI Engineer
OR · On-site +1
$155K - $180K/yr
... and Datavant, the two biggest data companies of the last 20 years), and are backed by ... We will also consider highly qualified remote candidates who can travel to San Francisco for in ...
AI Engineer
OR · On-site +1
$155K - $180K/yr
... and Datavant, the two biggest data companies of the last 20 years), and are backed by ... We will also consider highly qualified remote candidates who can travel to San Francisco for in ...
Datavant Remote information
What is a Datavant remote?
A Datavant Remote job refers to a position at Datavant, a healthcare data technology company, that can be performed from any location rather than requiring work in a physical office. Employees in these roles use digital tools to collaborate with their teams and contribute to projects focused on connecting and securing health data. Remote positions at Datavant span departments such as engineering, product management, business operations, and customer support. The company values flexibility and aims to support a healthy work-life balance for its remote workforce.
What are the key skills and qualifications needed to thrive as a Datavant remote employee?
To thrive in a remote position at Datavant, you generally need strong analytical skills, experience with data privacy or healthcare data, and a relevant degree in computer science, data science, or a related field. Familiarity with technical tools such as SQL, Python, cloud platforms, and secure data exchange systems, as well as certifications in data privacy or security, are often required. Exceptional communication, self-motivation, and time management are crucial soft skills for remote collaboration and productivity. These abilities ensure you can contribute effectively to complex projects while maintaining data security and seamless teamwork in a fully remote environment.
What are some common challenges faced by remote employees at Datavant, and how does the company support them?
Remote employees at Datavant often navigate challenges such as effective virtual collaboration, maintaining work-life balance, and staying connected with team members. To support its distributed workforce, Datavant emphasizes clear communication protocols, provides access to collaboration tools, and encourages regular virtual meetings. The company also fosters a supportive culture with flexible schedules and ongoing opportunities for professional development, ensuring remote employees feel included and set up for success.
What is the difference between Datavant Remote vs Data Analyst?
| Aspect | Datavant Remote | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in related field, experience with healthcare data | Bachelor's in statistics, data science, or related field |
| Work Environment | Remote, collaborative teams, healthcare industry | Typically office-based or remote, industry varies |
| Employer & Industry Usage | Healthcare data companies, biotech firms | Various industries including finance, marketing, healthcare |
| Common Search & Comparison | Yes | Yes |
Datavant Remote and Data Analyst roles often require similar credentials and work in data-driven environments. While Datavant Remote focuses on healthcare data and remote collaboration, Data Analysts may work across multiple industries and settings. Both roles involve data interpretation, but their industry focus and work setup differ.
Does Datavant offer remote work?
Yes, Datavant offers remote work opportunities for certain roles, including positions like Data Scientist and Software Engineer. Remote work arrangements may vary by position and team requirements, often involving collaboration tools and flexible schedules.
What are popular job titles related to Datavant Remote jobs in Oregon?
For Datavant Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Datavant Remote jobs in Oregon look for?
The top searched job categories for Datavant Remote jobs in Oregon are:
What cities in Oregon are hiring for Datavant Remote jobs?
Cities in Oregon with the most Datavant Remote job openings:
$155K - $180K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 8 days ago
Job description
Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. We enable payers and providers to design, measure, and execute value-based agreements with greater transparency, efficiency, and financial predictability.
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.
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, Valtruis and other leading investors. In our first 2 years, 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.
Arbital AI allows users to interact with complex VBC contracts & performance data in natural language and visualize it on demand. The 1st AI-powered platform built for VBC by industry leading healthcare actuaries, Arbital AI makes complex contract performance data conversational, transparent, and instantly actionable.
We are looking for an AI Engineer to help build our next-generation conversational AI experiences. This role sits at the intersection of AI models and the data systems behind them: you'll build retrieval and evaluation pipelines and the knowledge systems that ground our models' responses in production, working alongside senior engineers while keeping the customer experience front and center.
Is this role right for you?
If you want to make an impact on the US healthcare system, the idea of Arbital AI excites you, and the following matches your skills, experience, and interests:
Development and deployment of a data-intensive AI product on a SaaS platform
Programming in Python and SQL
Learning new frameworks, technologies, tools, and techniques in AI development
Hands-on experience with prompt engineering, model testing, and automated evaluation techniques for
conversational AI.
You strive for technically sound solutions that enhance user workflows, demonstrating a talent for iterative improvement and rigorous testing
Impact:
As an AI Engineer at Arbital Health, you'll play a pivotal role in shaping the future of value-based healthcare through intelligent automation. You'll help unlock insights from complex financial, clinical, and actuarial data by:
Help advancing our AI architecture for interacting with complex and unstructured healthcare contract & financial data, delivering real-time analytics and visualizations
Driving the evaluation and production-scale deployment of LLMs within a HIPAA-compliant environment
Dramatically reducing analytics time for strategic decision-making
Responsibilities:
Develop Arbital's next-generation conversational AI
Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital's AI strategy
Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues
Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
Collaborate with our cross-functional team of actuarial scientists, data scientists, data engineers, and product managers on Arbital's AI strategy
Manage the deployment and monitoring of these AI solutions in production environments to ensure they are performing as expected and troubleshoot any issues
Ensure data accuracy, integrity, privacy, security, and compliance through automated quality control procedures
Requirements:
2 - 5 years of experience in data-intensive, SaaS platform development projects
More than one year in machine learning or AI-related roles
Familiarity with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
Familiarity with AI orchestration frameworks like LangChain, ADK, etc.
Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations.
Proficiency in Python and Cloud ML Services like Vertex AI, AWS Bedrock and SageMaker
Experience with Airflow, Databricks, and AWS or GCP
Ability to ship extremely high-caliber code and build exceptional products
Passionate about improving and innovating
Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.
More than one year in machine learning or AI-related roles
Familiarity with cutting-edge AI systems, context engineering and agentic systems ranging from tool-calling stacks to MCP-style frameworks
Familiarity with AI orchestration frameworks like LangChain, ADK, etc.
Familiarity with maintaining context engineering pipelines (RAG, memory, summarization, compression, grounding) for conversations.
Proficiency in Python and Cloud ML Services like Vertex AI, AWS Bedrock and SageMaker
Experience with Airflow, Databricks, and AWS or GCP
Ability to ship extremely high-caliber code and build exceptional products
Passionate about improving and innovating
Our team works hybrid from the San Francisco Bay Area. We will prioritize candidates who can work two days per week from our San Francisco office. We will also consider highly qualified remote candidates who can travel to San Francisco for in-person collaboration several days per month.
Tools we use:
Infrastructure: AWS, GCP, Databricks, Airflow, Datadog
AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector Search
Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
IDE: Cursor, Claude Code, and R Studio
Version Control: GitHub
Team Planning / Design: Jira, Confluence, Claude, Gemini
AI: Vertex AI, GCP Model Garden, MLflow, Databricks Vector Search
Core Tools: Python, R, SQL, Next.js, React, TypeScript, Tailwind CSS
IDE: Cursor, Claude Code, and R Studio
Version Control: GitHub
Team Planning / Design: Jira, Confluence, Claude, Gemini
$155,000 - $180,000 a year
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
Occasional travel required - Quarterly team offsites
The opportunity to build a critical software platform that accelerates the American healthcare system's transition to value-based care
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