Salary
💰 $90,000 - $110,000 per year
Tech Stack
JavaScriptPythonSQL
About the role
- Access and analyze complex datasets from various sources, manipulate datasets and perform quality checks, applying statistical and analytical methods
- Use Python or SQL and Databricks to conduct analyses; interpret, summarize and present findings to relevant stakeholders
- Ensure data accuracy and identify opportunities for process improvement
- Develop and implement statistical and analytical methods to deliver insights
- Design and create advanced visualizations to effectively communicate complex data insights
- Present complex data insights clearly to both technical and non-technical large audiences
- Develop and deliver trainings, project updates, and presentations on NHSN work
- Evaluate and advise on analytic methodologies; provide results and recommendations verbally and in writing to clients, management, and staff
- Serve as a key contributor to project planning, development, and implementation
- Execute complex tasks independently and mentor junior team members
- Analyze client needs and translate them into formal requirements; leverage innovative approaches to established and emerging analytic trends
- Stay up-to-date on industry trends, software advancements, and best practices for analytics
- Foster strategic growth in analytics capabilities within the Data Science Division while promoting technical learning and skill development among colleagues
Requirements
- Bachelor’s degree and at least nine (9) years of relevant experience in Statistics, Epidemiology, Biostatistics, Public Health, or related field; or master’s degree and at least seven (7) years of relevant experience
- Advanced proficiency in a programming language such as Python, SQL, or R. (If advanced proficiency is in R, proficiency in an additional language or analytic software such as Python, SQL, or Databricks as well)
- Experience working independently and collaboratively on complex tasks within the job function
- Experience managing large data sets, moving and merging data files from different platforms, cleaning and aggregating data, and performing quality control
- Experience with quality-assurance testing or user-acceptance testing involving healthcare data
- Excellent attention to detail and critical-thinking skills
- Ability to successfully complete a Position of Public Trust Level 5 background investigation
- Experience working with healthcare data sets, including standards for healthcare terminology (such as LOINC, SNOMED, and RxNorm) and clinical concepts (preferred)
- Knowledge of and/or experience with large data-set analysis for CDC, Centers for Medicare & Medicaid Services, or other public-health entity (preferred)
- Knowledge of and/or experience with clinical workflow concepts, public health, or healthcare delivery (preferred)