U.S. News & World Report is seeking a Health Data Analyst to help develop and refine methodologies to evaluate thousands of U.S. hospitals and other healthcare providers, generating deliverables for publication on www.usnews.com/hospitals.
Requirements
- You write clean, well-documented code to manage and analyze large data sets
- You have experience reading and interpreting code you didn’t write
- A high degree of comfort with cleaning and managing of data sets containing millions of records
- A grasp of modeling and statistical principles relevant to quality measurement
- High level of proficiency in Stata, Python, SAS and/or R. Most coding is done in Stata, and some in R or Python.
- Experience analyzing Medicare claims or other administrative healthcare data sets
- Knowledge of multilevel models and/or confirmatory factor analysis or other structural equation models
Responsibilities
- You will develop analytical programs to process large healthcare data sets and generate deliverables for publication on www.usnews.com/hospitals.
- You may work on developing novel hospital performance measures, refining existing measures, and maintaining and expanding U.S. News & World Report’s portfolio of hospital and healthcare ratings.
- On a day to day basis, you will write and review code to manage large Medicare administrative claims data sets and data from other sources,
- collaborate with other members of the analytics team,
- develop and refine quality measures applicable in a variety of healthcare settings,
- and combine these metrics into meaningful evaluations of healthcare providers.
- You will report to the Senior Health Data Scientist, a Ph.D.-level leader.
Other
- You are always thinking of processes that can make a team more efficient and effective
- You are able to work on multiple projects at the same time and prioritize your time appropriately
- You value diverse perspectives, backgrounds, and approaches
- You respectfully challenge the status quo when necessary to produce better results
- Master’s degree or multiple years of professional experience in epidemiology, biostatistics, health services research, health economics or similar quantitative field
- Ability to cultivate collaborative relationships with peers and senior leaders
- Ability to communicate methods concepts to people with non-technical backgrounds internally and externally
