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 Cause to create a person-focused and economically sustainable health care system.

Who We Are Looking For :

Every day Cambias 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 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 youre 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 :

Bachelors 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 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 LangChain)

Machine Learning

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 TensorFlow 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)

Math

Linear Algebra

Discrete math

Probability and Statistics

Calculus

Data

Research and experiment design

Visualization with data

Answering questions with data

What You Will Do at Cambia (Not limited to) :

Note that these responsibilities are representative but not exhaustive. Higher-level roles involve successively stronger degrees of initiative taking and innovation beyond the core responsibilities listed here.

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.

The expected hiring range for The AI Scientist I is $135k$145k depending on skills experience education and training; relevant licensure / certifications; performance history; and work location. The bonus target for this position is 15%. The current full salary range for this position is $104k Low / $169k MRP

About Cambia

Working at Cambia means being part of a purpose-driven award-winning culture built on trust and innovation anchored in our 100 year history. Our caring and supportive colleagues are some of the best and brightest in the industry innovating together toward sustainable person-focused health care. Whether were helping members lending a hand to a colleague or volunteering in our communities our compassion empathy and team spirit always shine through.

Why Join the Cambia Team

At Cambia you can :

• 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 back to your community by participating in Cambia-supported outreach programs.
• Connect with colleagues who share similar interests and backgrounds through our employee resource groups.

We believe a career at Cambia is more than just a paycheck and your compensation should be too. Our compensation package includes competitive base pay as well as a market-leading 401(k) with a significant company match bonus opportunities and more.

In exchange for helping members live healthy lives we offer benefits that empower you to do the same. Just a few highlights include :

Learn more about our benefits.

We are happy to offer work from home options for most of our roles. To take advantage of this flexible option we require employees to have a wired internet connection that is not satellite or cellular and internet service with a minimum upload speed of 5Mb and a minimum download speed of 10 Mb.

We are an Equal Opportunity employer dedicated to a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race color national origin religion age sex sexual orientation gender identity disability protected veteran status or any other status protected by law. A background check is required.

If you need accommodation for any part of the application process because of a medical condition or disability please email . Information about how Cambia Health Solutions collects uses and discloses information is available in our .

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1