Education and Experience

• PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics or a related field required; comparable work experience may be substituted for the PhD degree.
• 3+ years of industry experience in the following preferred:
  • Machine Learning/AI, Statistics or Operations Research.
  • Programming with SQL, Python and R.
  • Practical experience with machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis.
  • Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resources, quality and supply chain).
  • Developing and deploying healthcare-relevant predictive and prescriptive models.
  • Combining analytic methods and advanced data visualizations.
  • Text mining and Natural Language Processing (NLP) is preferred.

Knowledge, Skills and Abilities

• Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems.
• Formulate and solve complex mathematical optimization problems using exact and heuristic approaches.
• Perform independent/unsupervised exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA).
• Design and prototype new application functionality for our products.
• Work with "real world" data including scrubbing, transformation, and imputation.
• Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels.
• Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems (e.g., Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries).
• Effective at working independently and in collaboration with other staff members for software platform and web application development.
• Cooperatively and effectively work with people from various organization levels.
• Manage projects to meet organizational goals.
• Plan work, set clear direction, and coordinate own tasks in a fast-paced multidisciplinary environment, including triaging issues, identifying data anomalies, and debugging software.
• Able to compare, contrast, and validate work with keen attention to detail.
• Actively generate process improvements; support and drive change, and confront difficult circumstances in creative ways.