AI Scientist I (Healthcare)

Cambia Health Solutions • Burlington, WA • 1d ago

AI SCIENTIST I (HEALTHCARE) Hybrid (Office 3 days/wk - Onsite-Flex) within Oregon, Washington, Idaho or Utah 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 expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve business problems in the healthcare payer domain. AI Scientists work may focus on a particular area of the business such as clinical care delivery, customer experience, or payment integrity, or they may work across several areas spanning the organization. In addition to expertise in generative AI, machine learning, deep learning and analytics this role requires knowledge of data systems, basic software development best practices, and algorithm design. AI Scientists work closely with AI team members in the Product and Engineering tracks to collaboratively develop and deliver models and data-driven products. AI Scientists also collaborate and communicate with business partners to design and develop data-driven solutions to business problems and interpret and communicate results to technical and non-technical audiences - all in service of making our members' health journeys easier. If you're a motivated and experienced AI Scientist looking to make a difference in the healthcare industry, apply for this exciting opportunity today! What You Bring to Cambia: Qualifications and Certifications:

Bachelor's degree (masters or PhD preferred) 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

Skills and Attributes (Not limited to): For all levels:

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.

Core Knowledge:

Generative AI:Understanding 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 models.

Machine Learning:Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etc. (see below). Demonstrated understanding of how to structure simple machine learning pipelines (e.g, has prepared datasets, trained and tested models end-to-end).

Data:Strong foundation in data analysis.

Programming:Strong python programming skills. Familiarity with standard data science packages. Familiarity with standard software development best practices. Strong SQL skills a plus.

Algorithms:Understanding of standard algorithms and data structures (ex. search and sort) and their analysis.

Core Knowledge Details and Examples (meant to be representative, not exhaustive; entry level roles are expected to have hands-on experience training and testing AI models, solid mathematical understanding and computer science fundamentals)

Generative AI

Large Language Models (LLMs) and their capabilities (e.g, in-@context learning, few-shot learn

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