AI Scientist I (Healthcare) at Cambia Health Solutions in Renton, WA

Summary: Cambia Health Solutions is dedicated to creating a person-focused and economically sustainable healthcare system. They are seeking an AI Scientist I to design, develop, and implement data-driven solutions in the healthcare payer domain using advanced analytical tools such as generative AI and machine learning. 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 Required Qualifications: - 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 - 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) - Experience with prompt engineering, fine-tuning approaches, and evaluation methods for generative models - Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, optimization, etc - Demonstrated 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 analysis - Strong python programming skills - Familiarity with standard data science packages - Familiarity with standard software development best practices - Strong SQL skills a plus - Understanding of standard algorithms and data structures (ex. search and sort) and their analysis - Research and experiment design - Visualization with data - Answering questions with data Preferred Qualifications: - Master's or PhD in a strongly quantitative field - Familiarity with Gen AI frameworks and tools (e.g, Hugging Face and LangChain) - Familiarity with standard python packages (scikit-learn, XGBoost, TensorFlow, PyTorch, etc.) - Familiarity with structure of machine learning pipelines - Basic understanding of deep learning concepts such as activation functions, optimization/gradient descent, common architectures (CNN, RNN, LSTM, GAN, etc.), embeddings, and specializations (sequence modeling/NLP/computer vision) Required Skills: Generative AI, Machine learning, Deep learning, Statistical modeling, Data analysis, Python programming, SQL, Algorithm design, Large Language Models (LLMs), Prompt engineering, Fine-tuning generative models, Evaluation methods for generative models, Classic machine learning algorithms, Machine learning pipelines, Hyperparameter tuning, Linear algebra, Probability, statistics, Data visualization 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.