Healthcare Decision Scientist

Hybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston, Little Rock or Springdale offices.

Preference will be given to current employees and candidates who reside within a commutable distance from our Salt Lake City, Boise, Fargo, Lewiston, Little Rock or Springdale offices or who are willing to relocate.

Build a career with purpose. Join our Cause to create a person-focused and economically sustainable health care system.

Every day, Cambia's dedicated team of Decision Scientists is living our mission to make health care easier and lives better. As a member of the Data & Analytics team, our Decision Scientists partner with business leaders to frame ambiguous challenges, apply advanced analytics and machine learning, and translate complex insights into clear, actionable recommendations – all in service of creating an economically sustainable health care system.

Do you have the curiosity of a scientist, the pragmatism of a consultant, and the communication skills of a trusted advisor? Do you thrive on turning data into decisions that drive measurable business outcomes? Then this role may be the perfect fit.

Decision Scientist II:
Master's degree (PhD preferred) in a strongly quantitative field such as Statistics, Applied Mathematics, Physics, Operations Research, Computer Science, Bioinformatics, or Econometrics and 3+ years of progressive, related work experience. In lieu of an advanced degree, a BA/BS degree with 5 years of related work experience will be considered.

Decision Scientist III:
Master's degree (PhD preferred) in a strongly quantitative field such as Statistics, Applied Mathematics, Physics, Operations Research, Computer Science, Bioinformatics, or Econometrics and 5+ years of progressive, related work experience. In lieu of an advanced degree, a BA/BS degree with 8 years of related work experience will be considered.

• Ability to think creatively and demonstrate strong analytical skills, analyzing complex situations both independently and as part of a team, learning quickly and synthesizing solutions, options and action plans.
• Familiarity with mixed methods research, with experience in at least two of the following: advanced analytics (statistics, simulation, optimization, time series, longitudinal studies, life event modeling); data mining, NLP, machine learning (regression, clustering, neural networks, kernel methods, dimensionality reduction, ensemble methods, decision trees) and deep learning (CNN, LSTM, GAN); building solutions with tools for data mining, statistics, analysis and scripting (e.g., Python).
• Experience cleaning, aggregating, and pre-processing data from varied sources, and creating complex SQL queries for both standard and ad-hoc data mining purposes.
• Demonstrated ability to apply quantitative analysis techniques to business situations, including forecasting, descriptive statistics, statistical inference, and multivariate modeling.
• Ability to analyze and interpret qualitative data (research, feedback) and incorporate those insights into quantitative analyses.
• Proficiency with a range of business intelligence and analysis tools (R, Power BI, or Tableau) and at least one statistical/analytical programming tool (Python, R, etc.).
• Project experience with machine learning, data mining, and constructing analytical models and algorithms.
• Experience with fundamental software engineering practices (e.g., version control, unit testing, CI/CD).
• Ability to access and process structured and unstructured data in various databases and formats.
• Ability to coordinate cross-functionally…