Job Title:
Data Analytics Consultant
Job ID:
Shared Services
Planning and Business Dev
Full/Part Time:
FTE %:
Salary Range Min:
Salary Range Max:

Position summary

Data Analytics Consultant (Job Opening 440236) - Contributes strategic vision and serves as the top-level technical contributor and lead for the most complex data and analytics initiatives in an effort to align information technology solutions with business initiatives. Serves as the primary contributor and consultant for data related to patient care services in the planning, design, development, implementation, functionality and evaluation of integrated clinical information systems that support and enhance clinical practice, administrative and management needs and patient outcomes. Data Scientist contributes strategic vision and serves as the top-level technical contributor and lead for the most complex and advanced data analytics initiatives. Creates value to organization leadership by compiling and analyzing business data from across clinical, research, educational and operational areas of the Medical Center. Data Science is an enterprise-wide support role and the work involves the application of advanced analytical methods, such as mathematical and simulation modeling, and excellent communication skills in order to identify actionable long-term strategies and implement solutions to complex issues across the medical center.

Education and experience

Masters Degree required in Data Science, Industrial and Systems Engineering, Computer Science, Operations Research, Applied Statistics or Applied Mathematics; PhD desired; a minimum of three (3) years of recent and relevant hands-on healthcare predictive analytic experience required. Solid knowledge in statistics/applied mathematics and computer science leveraged in a healthcare/business setting, including but not limited to: Discrete event simulation and mathematical modeling, Data acquisition using SQL or some other format, Understanding of relational data base design, Experience with Logic Based Programming languages and tools such as R, Python, SQL, etc. Mathematical Modeling experience using linear, integer and non-linear techniques