AI Scientist I (Healthcare)

Cambia Health Solutions is dedicated to creating a person-focused and economically sustainable health care system. They are seeking an AI Scientist I to design, develop, and implement data-driven solutions using advanced analytical tools in the healthcare payer domain.ResponsibilitiesResearches, designs, develops, and implements data-driven models and algorithms using generative AI, machine learning, deep learning, statistical, and other statistical modeling techniquesTrains and tests models, and develops algorithms to solve business problemsAdheres to standard best-practices and establishes principled experimental frameworks for developing data-driven modelsDevelops models and performs experiments and analyses that are replicable by othersUses open-source packages and managed services when appropriate to facilitate model developmentIdentifies, measures, analyzes, and visualizes drivers to explain model performance (e.g, feature importance, interpretability, bias and error analysis), both offline (in the development phase) and online (in production)Uses appropriate metrics and quantified outcomes to drive AI model and algorithm improvementsSkillsBachelor's degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics0-3 years of related work experienceEquivalent combination of education and experienceDemonstrated knowledge of generative AI, machine learning and data scienceAbility to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain modelsEffective in time and task managementAble to develop productive working relationships with colleagues and business partnersStrong interest in the healthcare industryUnderstanding of foundation models, transformer architectures, and techniques for working with large language models (LLMs)Experience with prompt engineering, fine-tuning approaches, and evaluation methods for generative modelsStrong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etcDemonstrated understanding of how to structure simple machine learning pipelines (e.g, has prepared datasets, trained and tested models end-to-end)Strong foundation in data analysisStrong python programming skillsFamiliarity with standard data science packagesFamiliarity with standard software development best practicesStrong SQL skills a plusUnderstanding of standard algorithms and data structures (ex. search and sort) and their analysisHands-on experience training and testing AI modelsSolid mathematical understanding and computer science fundamentalsResearch and experiment designVisualization with dataAnswering questions with dataBenefitsMedical, dental and vision coverage for employees and their eligible family members, including mental health benefits.Annual employer contribution to a health savings account.Generous paid time off varying by role and tenure in addition to 10 company-paid holidays.Market-leading retirement plan including a company match on employee 401(k) contributions, with a potential discretionary contribution based on company performance (no vesting period).Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave).Award-winning wellness programs that reward you for participation.Employee Assistance Fund for those in need.Commute and parking benefits.Company OverviewCambia Health Solutions is a nonprofit total health solutions company based in the Pacific Northwest/Intermountain region, serving It was founded in 1996, and is headquartered in Portland, Oregon, USA, with a workforce of 5001-10000 employees. Its website is http://www.cambiahealth.com.Company H1B SponsorshipCambia Health Solutions has a track record of offering H1B sponsorships, with 3 in 2026, 12 in 2025, 11 in 2024, 7 in 2023, 12 in 2022, 23 in 2021, 24 in 2020. Please note that this does not guarantee sponsorship for this specific role.