The Research Data Engineer is a member of the Research Data and Digital 
Scholarship (RDDS) team at the University of Pennsylvania Libraries. Reporting 
to the Head, Research Data Services, and working alongside RDDS colleagues with 
expertise in data science, scholarly communication, text mining, design, 
digital cultural heritage, data visualization, and mapping, they will provide 
support to research teams, faculty, and students across campus on issues such 
as data management; data analysis; data literacy; data sharing, and compliance 
with funder and publisher mandates. The goal of the research data engineer is 
to help Penn community members better manage their research process so that 
they can (a) find, curate, and analyze data for their research; (b) effectively 
and efficiently conduct their research using digital tools and infrastructure 
and (c) produce well-documented, funder-compliant, and FAIR (findable, 
accessible, interoperable, and reusable) data, code, and publications.

All Research Data and Digital Scholarship team members are expected and 
encouraged to dedicate one half-day a week to collaborative, creative, 
research, or professional development activities.

The RDDS team values collaboration, transparency, equity, openness, and 
accessibility in their work and is looking for a colleague who shares their 
commitment to an inclusive, ethical, anti-racist praxis.


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