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The Division of General Internal Medicine (DGIM) at Massachusetts General Hospital seeks a data analyst to join our research team.
The successful candidate will work on multiple clinical epidemiology and health economics projects. The position entails working with large restricted administrative datasets, including Medicare claims data, population surveys, and publicly available data.
Primarily, t he Data Analyst will work with Sachin Shah, MD, MPH (DGIM, Harvard Medical School) and Leila Agha, Ph.D.(Harvard Medical School) to obtain, curate, and analyze data to evaluate the effectiveness of new medical interventions and how physicians adopt new therapies.
The candidate should be highly motivated with experience in quantitative methods and economic research. The candidate should have solid foundation in biostatistics or economics and statistical programming. The responsibilities of this individual will be to collaborate with clinical investigators to obtain, curate, and analyze data, support abstract presentation and manuscript preparation, and assist in the preparation of grant proposals. The position requires attention to detail and working independently to solve problems.
Examples of current projects include:
PRINCIPAL DUTIES AND RESPONSIBILITIES:
Specific duties for the Data Analyst include, but are not limited to, the following:
EDUCATION :
A Bachelor’s degree focusing on quantitative methods is required (e.g., statistics, economics, public health, etc.). Master’s degree or prior coursework in health-related topics or research methods is preferred but not requiredSKILLS/ ABILITIES/ COMPETENCIES REQUIRED:
This description has been designed to indicate the general nature and level of work performed by an employee within this position. The actual duties, responsibilities, and qualifications may vary based on need.
EXPERIENCE :
Previous research experience is required.
WORKING CONDITIONS :
Duties will be carried out in a hybrid format, with time split between a typical office environment and remotely. We value work-life balance, and hours will typically be a standard 40 hours per week from Monday-Friday. Hours outside the 9-5 workday may occasionally be required, particularly around grant submission deadlines
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