Position Summary
The Epidemiologist will assist with extensively drug resistant organism (XDRO) initiatives that strengthen surveillance and prevention of healthcare associated infections (HAI) and antimicrobial resistance across Illinois healthcare facilities.
Specific Responsibilities
Epidemiologist for HAI Prevention (1 FTE)
The Epidemiologist will assist with activities designed to contain and prevent the spread of HAIs in Illinois. Responsibilities include:
- Provide education, technical support, and resources to healthcare facilities and laboratories on the XDRO registry, a surveillance system and infection control tool for XDROs in Illinois
- Track and investigate cases of XDROs, analyze risk factor data, and perform regular epidemiological surveillance to identify cases and clusters
- Conduct data analysis and validation projects to improve XDRO registry data quality and enhance detection of clusters and outbreaks of HAIs
- Provide healthcare facilities with support related to HAI surveillance, prevention, and response. May include on-site visits to healthcare facilities
- Write and present reports, proposals, and briefs for a variety of audiences
- Effectively communicate findings or recommendations at local and national meetings
- Other programmatic duties as needed.
The Epidemiologist will work closely with the Illinois Department of Public Health, local health departments, the CDC, and other partners and stakeholders.
Qualifications
Candidates for this position must have a Master’s degree or higher in epidemiology, biostatistics, public health, healthcare, or other closely related field and minimum 1-2 years of relevant work experience in public health and/or epidemiology. Experience with evaluating data related to HAIs or infectious disease epidemiology is preferred.
Candidates must have strong quantitative analysis skills and advanced knowledge of epidemiology. Must possess strong project management, interpersonal, and written/oral communication skills. Proficiency in Microsoft Office Suite and SAS, R, Stata, or other statistical analysis software is required.
