Blog from October, 2021

I am thinking and reading about project management for science and data science this morning. Perhaps there is something of interest here for you. Some of it is obnoxious, but it might be worth understanding if you are headed for a career in commercial data science, or if you want to skim for lessons learned that might be carried over into academia.

I am posting this for Bryce Barker (bryce.barker@wyo.gov). Please contact him for more information.

Job posting

This position is responsible for analysis and information management functions for the Division of Health Care Financing, requiring considerable judgment and specialized knowledge of the health and utilization management data, eligibility and claims data systems, and multiple Medicaid programs and policies. Upon findings in analysis, recommendations lead to new or improved policy and planning decisions, projects, and programs. This position manages low to high-level projects, studies, and coordinates with staff and other Department of Health Divisions.   Projects include collaboration on reporting efforts and projects with the Director's Unit for Policy Research and Evaluation (DUPRE) and the Business Operations Unit. This position serves as a resource and consultant of Medicaid data, including reviewing and validating other programs or vendors' efforts relating to data and data extraction.