The Centers for Disease Control and Prevention estimates that 1 in every 25 patients admitted to acute-care hospitals in the United States each year acquire infections that were not related to the condition for which they were hospitalized. Approximately 1.7 million healthcare-associated infections (HAI) occur in U.S. hospitals each year, resulting in 99,000 deaths and an estimated $20 billion in healthcare costs.

Although the precise causes HAIs are difficult to identify, experts believe that about a third could be prevented using current recommendations. The goal of Memorial Sloan Ketterings Infection Control program is to provide the safest healthcare environment for our patients by using evidence-based guidelines to prevent HAIs and to engage in clinical and translational research to further the mission of infection prevention among oncology settings.

We are seeking an Epidemiologist for our Infection Control program . This is a crucial role for a high-visibility area of the hospital.

Could this be you?

You will:

• Participate in Infection Control activities including design of methods for surveillance and other departmental studies.
• Analyze data to determine the incidence, risk factors, and outcomes associated with infections.
• As an integral member of the Infection Control team, manage how studies are conducted.
• Assist the PIs with aspects of epidemiologic study design and biostatistical methods, supervises execution, data maintenance and presentation of results.
• Analyze data to determine the incidence, risk factors and outcomes associated with study questions at hand.

You are:

• A good decision-maker, with proven success at making timely decisions that keep the organization moving forward.
• Able to work effectively in an environment notable for complex, sometimes contradictory information.
• Consistently achieving results, even under tough circumstances.

You have:

• A Doctorate level degree in Epidemiology or Public Health with a minimum of 3-5 years of recent experience with design methodology for epidemiological studies.
• Strong interpersonal skills; great oral and written communication skills.
• Experience with biostatistical software packages (e.g., SAS, SPSS, Stata).
• A high level of initiative.

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