Vacancy expired!
- Have strong interest in conducting descriptive analyses using a variety of health care data sets.
- Can code at an expert level in SAS or R, and are able to quickly learn other coding languages as needed.
- Derive satisfaction from translating large quantities of data and metadata into summary information, distilling trends and patterns to understand health care quality issues or opportunities for improvement.
- Are invested in statistical methods, have strong analytical skills, and are detail oriented.
- Are communicative and collaborative; gather input from relevant stakeholders; work effectively independently and on teams.
- Support senior data and research scientists.
- Are adept at prioritizing and thrive in an environment with multiple simultaneous work streams.
- Develop and maintain excellent documentation.
- May have experience with qualitative methods.
- May have experience with survey data analysis.
- May have experience creating informative and engaging data visualizations.
- This position will be a key participant in analyzing data and interpreting results in consultation with senior data scientists and communicating results for company analytic projects. These decisions are likely to impact our company's products as well as policy decisions (both internally and externally). Since the results of the studies are released to the public in most cases, a thorough examination of the analyses and framing of objectives is essential for making progress towards company goals of improving accountability and quality in healthcare.
- Provide analytic support for company programs and high priority strategic projects by conducting descriptive statistical analyses. Projects may include maintaining existing analytic products, developing new analytic products, supporting contract deliverables from federal and state clients, supporting company-sponsored consumer-facing reports (e.g State of Health Care Quality), and summarizing data collected through national patient experience and functional status assessments (e.g. CAHPS and HOS surveys).
- In consultation with senior data scientists, support the development of analytical plans, such as database design, program design, selection of statistical methods, and creation of project timelines.
- Conduct programming tasks and statistical analyses: including preparing and cleaning data; implementing and refining statistical methods; preparing formatted results tables, creating databases and other outputs; and verifying the accuracy of results. Prepare supporting documentation that may include descriptions of methods, relevant literature, and other background materials to provide context for results.
Vacancy expired!