University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. With its beautiful urban campus and vibrant cultural scene, Philadelphia is the perfect place for work and play.
Posted Job Title
Data Engineer, CGIR
Job Profile Title
Data Analyst D
Job Description Summary
The Center for Guaranteed Income Research (CGIR) is an unconditional cash-transfer research center headquartered at the School of Social Policy & Practice at the University of Pennsylvania. CGIR conducts applied cash-transfer studies and pilot designs in collaboration with community-based organizations and government stakeholders to add to the empirical scholarship on cash, economic mobility, and poverty. CGIR is currently conducting the world's largest multi-site evaluation of nearly 40 guaranteed income pilots across the nation as part of The American Guaranteed Income Studies (AmGIS). Using a common research design and a core survey across its pilot sites, the aims of AmGIS are to (1) facilitate comparisons across pilot sites, and (2) create a singular master dataset pooling data from more than 19,000 study participants across treatment and control groups. In addition, CGIR is augmenting its original survey data with administrative data from across its diverse pilot sites.
The Data Engineer will work closely with CGIR's Biostatistician, Center Leadership, and Research Scientists to design and manage the data infrastructure for the AmGIS sites described above. Key responsibilities include organizing and structuring raw data, overseeing data quality assurance, cleaning, and control activities, consolidating individual site-specific datasets into a singular master dataset, integrating survey data with administrative data, and ensuring the security, integrity, and storage of data sets, codebooks, and documentation. The Data Engineer will also supervise student research assistants.
Contingent upon grant funding.
Job Responsibilities
Data Infrastructure and Management
Advanced Analytics and Machine Learning
Research Collaboration, Supervision, and Communication
Project Management
Other Duties
Qualifications
Job Location
Philadelphia, Pennsylvania
Department / School
School of Social Policy and Practice
Pay Range
$70,500.00 – $95,000.00 Annual Rate
Equal Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.
Special Requirements
Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
University Benefits
Comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits.
Tuition assistance for you, spouse, and dependent children at Penn and other institutions.
Generous retirement plans including Basic, Matching, and Supplemental plans through TIAA and Vanguard.
Substantial vacation and personal leave.
Partnership with Genworth Financial offering insurance without underwriting for new hires.
Programs and resources supporting health and work-life balance.
Resources to advance professionally and personally.
Access to libraries, athletic facilities, and cultural activities.
Discounts on arts, entertainment, transportation, mortgages, etc.
Non-traditional work hours, locations, and job structures.
Forgivable loan for home buying or improvements.
Reimbursement for adoption-related expenses.
To learn more, please visit https : / / www.hr.upenn.edu / PennHR / benefits-pay
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Data Engineer • Custer, SD, US