Data Scientist for the Lab for Globalization and Shared Prosperity, Department of Government - College of Arts & Sciences

Georgetown University comprises two unique campuses in the nation’s capital. With the Hilltop Campus located in the heart of the historic Georgetown neighborhood, and the Capitol Campus, just minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our community is a close-knit group of remarkable individuals driven by intellectual inquiry, a commitment to social justice, and a shared dedication to making a difference in the world.

Requirements

The Georgetown University College of Arts & Sciences experience is marked by intellectual vitality, a global outlook, and dedication to service. In the Jesuit tradition of cura personalis, the Georgetown University College of Arts & Sciences strives to provide its students with a multifaceted liberal arts education—an education of the whole person.

The Lab for Globalization and Shared Prosperity is seeking a Data Scientist to support a project in collaboration with the Healthcare Regulatory Research Institute (HRRI) in addition to the Lab’s American Dream Index (ADI). The HRRI project involves the creation of a comprehensive dataset on healthcare deserts in the U.S. and a subsequent analysis of the factors contributing to these disparities. As part of the research, we will also examine the impacts of globalization on the healthcare industry, focusing on how political and economic trends affect the accessibility and distribution of healthcare services across different localities. Additional duties include, but are not limited to:

• Lead the data collection and cleaning process to create a robust dataset.

• Create visualizations and conduct statistical analyses.

• Perform analysis with limited supervision and deliver high quality work in a timely manner.

• Participate in the development, dissemination, and presentation of research findings.

Work Interactions

The position with the Lab furthers GU’s mission to promote social justice. The Data Scientist will report directly to Professor Rudra and oversee the technical work undertaken by research assistants hired by the Lab. 

Requirements and Qualifications

• Bachelor's degree

• Experience coding and working with large datasets

• A knowledge of microeconomics, international trade, and related fields such as labor, industrial organization, and political economy

• Experience with coding and the management of large databases

• Experience with data visualization

• Experience using Tableau and geographic data visualization tools is strongly preferred

• Strong knowledge and work experience with large datasets dealing with issues of economic development

• Successful candidate should be creative, flexible, adaptable, and open to engaging in iterative and co-constructed research with others

• Must have capacity to connect details and data and bring them to a larger conversation and help make data and research understandable to decision-maker and policymaker audiences, and responsive to their needs and contexts

• Outstanding verbal and written communication skills

Work Mode Designation

This position has been designated as Hybrid. Please note that work mode designations are regularly reviewed in order to meet the evolving needs of the University.  Such review may necessitate a change to a position’s mode of work designation. Complete details about Georgetown University’s mode of work designations for staff positions can be found on the Department of Human Resources website: https://hr.georgetown.edu/mode-of-work-designation.

Cover letter and resume required for consideration.

Pay Range:

The projected salary or hourly pay range for this position which represents the full range of anticipated compensation is:

$41,926.00 - $65,090.00

Compensation is determined by a number of factors including, but not limited to, the candidate’s individual qualifications, experience, education, skills, and certifications, as well as the University’s business needs and external factors.

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