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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