Posted to IASSIST on: 2017-11-08
Employer: University of Wisconsin-Madison
Employer URL: https://www.wisc.edu/
The Data Science Hub at the Wisconsin Institute for Discovery (WID) provides a focal point for programs dedicated to research and application of modern techniques to the management, storage, and analysis of complex data sets.
The Data Science Hub (DS Hub) is seeking an individual to advance the research activities of faculty members, students, and staff in a broad range of scholarly disciplines that rely on data science methods. The Data Science Facilitator will consult with researchers on campus to recommend appropriate solutions to data science problems impeding their research. The successful candidate will gain a wide range of skills at this job and will have the opportunity to work with experts in a range of research areas and data-centric technologies through Data Science Hub partnerships.
This position will work closely with personnel at the Data Science Hub and its on-campus partners, which include but are not limited to: the Advanced Computing Initiative, the Bioinformatics Resource Center, the Biometry program, the Center for High Throughput Computing, the Center for Predictive Computational Phenotyping, the Humanities Research Bridge, Research Data Services, the Social Sciences Computing Cooperative, and many others.
At least two years of experience in a data- and/or compute intensive research area is required.
Qualified candidates will:
- demonstrate an appreciation for a range of data-intensive research and be experienced in at least one research domain such as life sciences, physical sciences, social sciences, or the humanities.
- have strong oral and written communication skills, with attention to interpersonal relationships and professionalism.
- have a positive attitude and demonstrate a history of self-motivation
- demonstrate strong abilties in critical analysis and creative problem solving
- be able to work independently and as part of a dynamic interdisciplinary team
- possess a demonstrated interest and prior experience in elevating the work of others
- possess basic skills with tools for data curation, analysis, and/or visualization, including: scripting languages, databases, visualization software and/or platforms, use of large-scale computing systems, etc.
Ideal candidates will demonstrate experience applying appropriate strategies, tools, and computing technologies to the data science aspects of research problems.
In addition to the core facilitator role, there may be opportunities to specialize in one of a diverse set of areas. Knowledge/experience in one or more of the following areas will be a plus, but is not essential:
- prior work as a data scientist (or similar position) whether in industry or academic research
- significant experience and demonstrated interest in education, outreach, mentoring, consulting, community-building and/or formal communication activities
- contribution to a Software Carpenty or Data Carpentry workshop or other data- or computation-focused training efforts.
- experience using bioinformatics software tools and technologies
- experience applying machine learning methods to tackle data challenges
Archived on: 2017-11-13