AI Scientist ; Healthcare

Position: AI Scientist I (Healthcare)
** AI SCIENTIST I (HEALTHCARE)
** Hybrid (Office 3 days/wk – Onsite-Flex) within
** Oregon, Washington, Idaho or Utah
**** Build a career with purpose. Join our*
* ** to create a person-focused and economically sustainable health care system.
***** 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:
*** 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.
* ** 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)
* Large Language Models (LLMs) and their capabilities (e.g, in-context learning, few-shot learning, zero-shot learning)
* Prompt engineering techniques and best practices
* Fine-tuning approaches (e.g, full fine-tuning, parameter-efficient methods like LoRA, QLoRA)
* Retrieval-Augmented Generation (RAG) and knowledge integration
* Evaluation methods for generative models (e.g, perplexity, BLEU, ROUGE, human evaluation)
* Alignment techniques (e.g, RLHF, constitutional AI, red-teaming)
* Multimodal generative models (text-to-image, text-to-video, multimodal understanding)
* Responsible AI considerations specific to generative models (e.g, bias, hallucinations, safety)
* Familiarity with Gen AI frameworks and tools (e.g, Hugging Face and Lang Chain)
* Classic ML algorithms (e.g, linear and logistic regression, decision and boosted trees, SVM, collaborative filtering, ranking)
* Approaches (e.g, supervised, semi-supervised, unsupervised, reinforcement learning, regression, classification, time series modeling, transfer learning)
* Foundational ML concepts such as objective functions, regularization and over fitting
* Data partitions (train/dev/test) and model development
* Hyperparameter tuning and grid search
* Evaluation concepts (metrics, feature importance, etc.)
* Familiarity with standard python packages (scikit-learn, XGBoost, Tensor Flow, PyTorch, etc.)
* Familiarity with structure of machine learning pipelines
* ** Deep Learning (basic understanding expected at all levels)
*** Activation functions
* Optimization/Gradient Decent
* Common architectures (CNN, RNN, LSTM, GAN, etc.)
* Embeddings* Familiarity with specializations (sequence modeling/NLP/computer vision)
* Work alongside diverse teams building cutting-edge solutions to transform health care.
* Earn a competitive salary and enjoy generous benefits while doing work that changes lives.
* Grow your career with a company committed to helping you succeed.
* Give…