Senior Applied Scientist

Senior Applied Scientist

Remote within OR, WA, ID or UT

Cambia Health Solutions is working to create a seamless and frictionless health care experience for consumers nationwide. This presents a unique challenge and opportunity for innovative solutions that serve patients and providers and influence the healthcare system. Machine Learning Scientists on the AI team build, prototype, and deploy data-driven models and algorithms to production systems, advancing the state-of-the-art in healthcare. Our work helps improve the health quality of millions and delivers more equitable, effective, and affordable health care to our members.

The ML team is looking for a senior member to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better health care. We solve a wide range of challenging problems, for example:

• How to identify those members whose health will benefit most from outreach and services.
• How to lower our plan members' claim costs.
• How to better understand and answer our members' and providers' most pressing questions and concerns.
• How to reduce friction and increase operational efficiency for members and providers.
• How to do ensure our AI solutions are unbiased and fair, and lead to equitable outcomes for all.

These technical challenges afford us the unique opportunity to draw from and develop a wide variety of tools and approaches. We are passionate about discovering novel data sources, generating datasets and features, designing experiments to test hypotheses, learning from the work of others to maximize creative algorithm and model-building, developing metrics to evaluate performance, and, of course, collaborating with our business partners to ensure our work is valuable. We are never bored!

The ideal candidate for this role will share a passion for all things machine learning and have extensive hands-on experience with developing models for production systems. They will have an expert understanding of ML, both classic ML and deep learning, and will have deep experience with ML processes, development lifecycle, and mathematical underpinnings. An understanding of model explainability, including its limitations and nuances, is crucial. Because this role will help develop a general framework for detection and mitigation of algorithmic bias, a strong appreciation of its potential pitfalls is essential. You should demonstrate expert-level ability in a python-based development environment in which you will be responsible for data extraction and manipulation, iterative model development and evaluation, and documentation and communication of results. An important part of this role will involve technical leadership and mentoring of junior ML Scientists. It's also critical to be able to formulate clear ML solutions from vague business requirements. Know that as a team, we are committed to providing the support, tools, and platforms to help our team members be as productive and successful as possible.

Cambia's mission is to serve as a catalyst to transform health care, creating a person-focused and economically sustainable system. Our vision is to make health care easier and lives better - and, at Cambia, intelligent use of our data plays a huge part in making that happen.

Qualifications and Requirements:

• Academic degree (masters or PhD preferred) in a strongly quantitative discipline such as Computer Science, Data Science, Statistics, or related field.
• 7-12 years of related work experience, preferably in industry.
• Strong mathematical foundation and theoretical grasp of the concepts underlying machine learning, deep learning, and NLP.
• Extensive hands-on experience structuring machine learning pipelines (dataset preparation, training, tested, and evaluating models).
• Demonstrated ability to perform exploratory data analysis that informs decision-making.
• Experience developing and selecting metrics appropriate to the business use case.
• Proven ability to work with large, noisy, high-dimensional, sparse, and/or imbalanced data.
• Expert-level python programming skills. Strong familiarity with standard data science packages and software development best practices, including source-code management.
• Strong SQL or pandas skills for data extraction and manipulation.
• Understanding of standard algorithms and data structures (e.g., search & sort) and their analysis.
• Effective in time and task management.
• Able to develop productive working relationships with colleagues and business partners.
• Ability to communicate effectively across a large organization.
• Strong interest in the healthcare industry.
• Comfortable working in a small, remote/hybrid team-based environment.

Responsibilities:

• Researches, designs, develops, and implements data-driven models and algorithms using machine learning, deep learning, NLP, statistical, and other mathematical modeling techniques.
• Trains and tests models, and develops novel algorithms to solve business problems.
• Builds, prototypes, and deploys data-driven models and algorithms to production.
• Monitors and analyzes, diagnoses, and resolves bugs in production ML systems.
• Leads technical aspects of large-scale initiatives.
• Mentors and acts as technical lead for teams of junior ML scientists.
• Influences strategy and prioritization.
• Establishes principled experimental frameworks for model development and evaluation.
• Develops a general framework for detection and mitigation of algorithmic bias.
• Helps establish team best practices.
• Collaborates with team members and business partners to understand and solve for the right problem.
• Advocates for AI/ML and helps maintain a data-driven culture at Cambia.
• Develops training/workshop materials for both technical and business/product audiences.
• Broad and comprehensive, but also technically-deep awareness of data science & machine learning advancements in the field.
• Represents Cambia through external activities such as publishing research, writing blog posts, and acquiring patents.

Work Environment:

• Work primarily performed in a hybrid environment consisting of in-office and working from home.
• Travel may be required, locally or out of state.

We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and 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 [email protected]. Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy. As a health care company, we are committed to the health of our communities and employees during the COVID-19 pandemic. Please review the policy on our Careers site.