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AI Scientist Senior II

Job in Vancouver, Clark County, Washington, 98662, USA
Listing for: Cambia Health Solutions
Part Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 168000 - 211000 USD Yearly USD 168000.00 211000.00 YEAR
Job Description & How to Apply Below

Hybrid role (3 days/week in office) at our Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo offices.

Candidates must reside within commutable distance of that location or be willing to relocate.

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Who We Are Looking For

Every day, Cambia's Applied AI Team is living our mission to make health care easier and lives better. AI Scientists work with various stakeholders to design, develop, and implement data-driven solutions. This position applies deep expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve complex, high‑impact business problems in the healthcare payer domain.

As a Senior II AI Scientist, you will serve as a technical leader and strategic advisor, driving innovation across multiple business areas such as clinical care delivery, customer experience, and payment integrity. This is a hands‑on technical leadership role – you will personally architect and build sophisticated AI solutions while simultaneously mentoring junior team members and influencing the technical direction of our AI initiatives.

You will lead by example, writing production‑quality code, conducting rigorous experiments, and demonstrating best practices in every aspect of AI development.

This role requires not only mastery of generative AI, machine learning, and deep learning, but also strong architectural thinking, advanced software engineering capabilities, and the ability to translate ambiguous business challenges into innovative AI solutions.

You will be expected to remain deeply technical, actively contributing code, developing models, and solving complex technical problems alongside your team. Your leadership will come through the quality of your technical work, your ability to tackle the most challenging problems, and your commitment to elevating the skills and capabilities of those around you.

AI Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data‑driven products.

Qualifications

Requirements for this Senior II role include a degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience. Equivalent combinations of education and experience will also be considered.

Technical Leadership & Strategy
  • Recognized expert in generative AI, machine learning, and data science with the ability to architect complex, novel solutions and define a technical vision aligned with business strategy.
  • Deep understanding of the healthcare industry (preferred) with the ability to identify and prioritize high‑value AI opportunities, evaluate emerging technologies, and lead multiple complex projects from conception to production.
Advanced Technical Expertise
  • Mastery of advanced AI/ML techniques with the ability to innovate beyond existing patterns, combined with expert‑level Python programming and strong software engineering principles (design patterns, testing, CI/CD).
  • Deep expertise in working with complex, real‑world data challenges (noisy, high‑dimensional, sparse, imbalanced, biased) across multiple data domains (e.g., claims, clinical, member engagement).
  • Deep expertise in multiple AI modeling techniques with the ability to select and combine methods innovatively, design scalable architectures for offline and online systems, and implement MLOps, model governance, and responsible AI practices.
  • Advanced SQL and data engineering skills, including optimization of complex queries and data pipeline design.
Problem Solving & Innovation
  • Ability to tackle ambiguous, ill‑defined problems and structure them into actionable AI initiatives that create measurable business value.
  • Proactive identification of AI opportunities for strategic advantage, with the ability to anticipate technical risks, design mitigation strategies, and conduct…
Position Requirements
10+ Years work experience
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