Principal Data Engineer

at  Providence

DESCRIPTION

Principal Data Engineer \Most states eligible\
The Principal Data Engineer is a SME level position responsible for collecting, analyzing, creating visualizations and storytelling using clinical data. He/she will have the opportunity to work with diverse data types from many millions of clinical encounters in acute and non-acute settings. Using analytical methods including visualization science, predictive modeling and biostatistics, they will serve as a key member of a team that engineers novel reporting platforms and brings data to bear on hard problems in healthcare. The audience for the Engineer work is the entire Providence St. Joseph Health system, from members of the Board of Directors to front line caregivers. Areas of particular focus include the measurement of Quality and Value of Care (i.e. good outcomes per unit cost). To succeed, the Engineer will interact comfortably and independently with Clinical and Administrative Leaders, subject matter experts and other data engineers, as they evaluate new measures, identify impactful findings in large clinical data stores, and design novel and strong data visualizations communicating key information across the organization. The Engineer will also help ensure that all work produced by the IHC team is conducted with thoughtful analytical discipline, and they will support other members of the team through experience with computational methods. The Engineer with deep knowledge of structure, process and outcome measures, develops innovative methods to develop outcome measures for the whole person care model.
Providence caregivers are not simply valued – they’re invaluable. Join our team at Providence Strategic And Management Services and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect. Your voice matters here, because we know that to inspire and retain the best people, we must empower them.

REQUIRED QUALIFICATIONS:

• Master’s Degree in Health Information Management, Computer Science, Mathematics, Business Administration, Healthcare or a related clinical or analytic discipline Or equivalent combination of education and experience
• 9 years experience with relevant data analysis, or equivalent; preferably in a biomedical setting.Experience with database query and analysis languages (e.g. SQL, R, SAS, Python) and data visualization tools (e.g. Tableau, D3)

PREFERRED QUALIFICATIONS:

• Ph.D. in Health Information Management, Computer Science, Mathematics, Business Administration, Healthcare or a related clinical or analytic discipline Or equivalent educ/experience
• Upon hire: Certification in an IT discipline, application, or tool
• Upon hire: Lean certification or Green Belt, Black Belt
• Upon hire: Certification in Data Science
• 4+ years of development experience in data exchange using FHIR

Please refer the Job description for details