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AI Scientist I (Healthcare)

Work from home Full-time role Hiring

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 to solve business problems in the healthcare domain.

Responsibilities

  • Researches, designs, develops, and implements data-driven models and algorithms using generative AI, machine learning, deep learning, statistical, and other statistical modeling techniques
  • Trains and tests models, and develops algorithms to solve business problems
  • Adheres to standard best-practices and establishes principled experimental frameworks for developing data-driven models
  • Develops models and performs experiments and analyses that are replicable by others
  • Uses open-source packages and managed services when appropriate to facilitate model development
  • Identifies, 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 improvements

Skills

  • Bachelor's degree in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics
  • 0-3 years of related work experience
  • Equivalent combination of education and experience
  • Demonstrated knowledge of generative AI, machine learning and data science
  • Ability to use well-understood techniques and existing patterns to build, analyze, deploy, and maintain models
  • Effective in time and task management
  • Able to develop productive working relationships with colleagues and business partners
  • Strong interest in the healthcare industry
  • Understanding of foundation models, transformer architectures, and techniques for working with large language models (LLMs)
  • Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etc
  • Strong foundation in data analysis
  • Strong python programming skills
  • Familiarity with standard data science packages
  • Familiarity with standard software development best practices
  • Strong SQL skills
  • Understanding of standard algorithms and data structures (ex. search and sort) and their analysis
  • Hands-on experience training and testing AI models
  • Solid mathematical understanding and computer science fundamentals
  • Research and experiment design
  • Visualization with data
  • Answering questions with data
  • Master's or PhD in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics

Benefits

  • Medical, 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 Overview

  • Cambia 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 Sponsorship

  • Cambia Health Solutions has a track record of offering H1B sponsorships, with 10 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.
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