Position Details Advertising/Posting Title Research Data Visualization Engineer Diversity Statement The University is especially interested in candidates who can contribute to the diversity and excellence of the institution. Applicants are encouraged to include in their cover letter information about how they will further this goal. Posting Summary The Research Data Visualization Engineer provides expert support for the Vermont Complex Systems Center and the Center for Community News at the University of Vermont, focusing on large-scale data pipelines, analysis, and data visualization to enhance scientific communication. Build state-of-the-art websites and web-based resources for data visualization using JavaScript libraries such as D3, enabling new ways to explore data for researchers and community members alike. Play a critical role in the dissemination of scientific information and research findings associated with the NSF track 1 Science of Online Corpora, Knowledge, and Stories and other work across the Vermont Complex Systems Center, and UVM’s Center for Community News.Collaborate with faculty, researchers, and students to develop new and enhance existing web services for data-driven visualization. This position will report to the Executive Director of the Vermont Complex Systems Center, with equitable distribution of time across projects and successful integration into both the Vermont EPSCoR /Vermont Complex Systems Center team and the Center for Community News team. Provide data analysis tools and management, developing code, and supporting web visualizations to directly support UVM’s goal of enhancing IT resources available to the UVM research community. Support UVM research and enhance outreach and community engagement goals. Experience developing software in languages such as Python and JavaScript is critical for this position, as well as a strong track record of design forward visual story telling using data.Minimum Qualifications (or equivalent combination of education and experience)
Combination of education and/or applicable experience equivalent to a graduate degree in a STEM related field relevant to software development and large data software and systems, with experience studying or working in data journalism.
Demonstrated portfolio of data visualization work in higher education, research institutions, or journalism with a track record of positive collaboration and impactful data communication.
Programming experience, ideally with multiple languages such as Python, C, C, Perl, bash. Experience with software version control such as Git.
Experience with JavaScript frameworks for data-driven visualization, such as D3. Experience with Node.js.
Experience with geospatial data and mapping visualizations.
Experience developing APIs for data access.
Experience building engaging, interactive websites using data from non-relational databases such as MongoDB.
Enthusiasm for learning and evaluating new technologies and ability to determine if appropriate for adoption.
Expertise installing software on Linux-based systems, often from source.
Strong technical and problem-solving skills. Ability to think creatively about technical challenges.
Excellent customer service ethic, effective communication skills and collaborative approach to teamwork.
Desirable Qualifications
Experience teaching data visualization at the university level: ability to educate graduate students and researchers about visualization tools
Experience building processes supporting data transformation, data structures, metadata, dependency and workload management .
Experience creating, using, and updating automated testing.
Experience working at an academic institution.
Familiarity with Linux systems engineering and understanding of Linux systems deployment.
Anticipated Pay Range $85,000 - $95,000
Other Information
The Data Research Visualization engineer will spend 60% of their time working with the Vermont Complex Systems Center and 40% of their time working with the Center for Community News.About the Vermont Complex Systems Center: The Vermont Complex Systems Center is a post-disciplinary team working on real-world, data-rich, and meaningful complex systems problems of all kinds. Topics of expertise include computational social science, disease and information spreading, open-source networks and ecosystems, data and AI ethics, artificial neural networks, brain-human interfaces, and large-scale, system problems in fields including sociology, nonlinear dynamics, networks, ecology, public health, and physics. Our research is highly collaborative and thrives in an academic ecosystem where undergraduate, masters, and PhD students work with our faculty and engage with funded projects. This ability to be immersed in data-rich research, solving real-world problems with external partners, is a defining element of our community and produces a diversity of solutions and ideas.About the Center for Community News: In communities across the U.S., student journalists now provide millions of people with trustworthy, professional local news coverage. CCN is both a newsroom and a laboratory for experimentation in creative ways to address the challenges facing local news. It has grown into a national effort to document and meet the urgent needs of other schools around the U.S. that are working to be part of the local news solution. Our mission is to grow and support partnerships between college reporting programs and local news outlets, and to be a national resource for colleges and universities that provide student reporting to local news outlets addressing challenges like news deserts and equitable access to reliable, relevant news for all communities.About VT EPSCoR: The Vermont Established Program to Stimulate Competitive Research (VT EPSCoR) is funded by the National Science Foundation ( NSF ). The NSF’s EPSCoR program pursues a mission to enhance the research competitiveness of targeted jurisdictions (state, territory or commonwealth) by strengthening science, technology, engineering and mathematics ( STEM ) capacity and capability through a diverse portfolio of investments from talent development to local infrastructure. The current Research Infrastructure Improvement ( RII ) Track-1 was awarded in 2023 on Harnessing the Data Revolution for Vermont: The Science of Online Corpora, Knowledge, and Stories ( SOCKS ). A state-wide program, VT EPSCoR SOCKS advances data-driven, computational, “science of stories.” SOCKS tools harness the data revolution by supporting transdisciplinary research in data science, computational social science, digital humanities, and complex systems. New insights into the power and use of stories and narratives will be provided across a broad array of social, economic, and health domains through integrated data and teams. SOCKS is administered by the University of Vermont & State Agricultural College in collaboration with five predominantly undergraduate universities: Champlain College, Middlebury College, Norwich University, Saint Michael’s College, and Vermont State University.Special Conditions Bargaining unit position, External candidates must complete a 4-month probationary period, Contingent on continued funding, A probationary period may be required for current UVM employees, This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, in accordance with the university telecommuting policy, Background Check required for this position FLSA Exempt Union Position Yes, UVMSU ($20 minimum hourly rate) Posting Details Position will be posted for a minimum of one week, after which it is subject to removal without notice.Job Open Date 05/22/2024 Job Close Date (Jobs close at 11:59 PM EST.) Open Until Filled No Position Information Position Title Information Tech Professnl Sr Posting Number S5097PO Department VP Research Admin Office/30600 Position Number 00027068 Employee FTE 1.0 Employee Term 12 Supplemental Questions Required fields are indicated with an asterisk (). Documents Needed to Apply Required Documents
Resume
Cover Letter/Letter of Application
Optional Documents
Curriculum Vitae