Hub Updates is the UW-Madison data science community's resource for news, trainings & workshops, and professional opportunities in data science.

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May 4, 2022

Data and Software Carpentry Logo
The Data Science Hub will be hosting a Data Carpentry workshop from 9am-12:30pm on June 6th-9th and a Software Carpentry workshop from 9am-12:30pm on June 13th-16th. The Data Carpentry workshop will teach data organization in spreadsheets, data cleaning with openRefine, data management and querying with SQL, and data analysis and visualization with R. The Software Carpentry workshop will teach automating tasks with Unix Shell, version control with Git/GitHub, as well as plotting and programming in Python. Both workshops are open to UW-Affiliated undergraduates only. To learn more and register, visit the Data Carpentry workshop website or the Software Carpentry workshop website.

Upcoming Trainings & Workshops

Health Sciences Data Carpentry, Data Science Hub
May 16th-May 17th, Health Science Data Carpentry teaches indivudals working in health science the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. This workshop includes data organization in spreadsheets, data cleaning with openRefine, data management and querying with SQL, and data analysis and visualization with R. Register for Health Science Data Carpentry by May 9.

The Perfect Pitch: Building a Message for Funding, The Media, and More
May 12th, 9:00 a.m.-12:00 p.m., Whether it’s looking for an investor, a collaborator, or a new employer, everyone has to make a quick pitch at some point in their career. In this interactive workshop, participants will work with experts to learn best practices for communicating their work to people outside their specialty of science. Participants will have a chance to get feedback on their own research “elevator pitch,” and they'll also learn how to use social media to engage with scientists and the public. Register for the Perfect Pitch workshop.

CLASS Essentials for Google Cloud Platform, Internet2
May 17th, 9:00 a.m., This virtual course is designed for cloud computing beginners looking to facilitate or develop cloud research workflows. CLASS Essentials for GCP is a virtual, four-hour, hands-on learning experience. Participants will learn how to navigate the cloud console, create cloud computing instances and cloud storage buckets, and much more. This course is targeted at beginners to cloud computing looking to facilitate or develop research workflows on the cloud. This workshop has a $150 fee for UW-Madison affilated individuals who register before May 10th. Register for Google Cloud Platform CLASS Essentials.

CLASS Essentials for Amazon Web Services, Internet2
May 26th, 9:00 a.m., During this virtual course, participants will learn how to run simple research analysis on computing instances, utilize best practices for developing research workflows, and much more. This virtual course is designed for cloud computing beginners looking to facilitate or develop research workflows on the cloud.This workshop has a $150 fee for UW-Madison affilated individuals who register before May 20th. Register for Amazon Web Services CLASS Essentials.

Upcoming Seminars & Events

SILO Seminar Series
This semester there will be hybrid seminars, with both in-person and virtual (Zoom) participation. The number of in-person attendees will be limited to 20 people, selected at random. In-person attendance will be notified the Tuesday around 10 p.m. before each SILO, and all others may participate via Zoom.
  • May 4th, 12:30 p.m., Network Experiments with Qing Liu
  • May 11th, 12:30 p.m., TBA with Gitta Kutyniok

Student Opportunities

Data Science Executive Board, Data Science Club
The UW Data Science Club is looking for a new member to join their executive board to help organize their events. Interested students should fill out the UW Data Science Club executive board application form by May 23rd. Interviews will be conducted after applications are due.

Workshops for UW-Affiliated Undergraduates Only, Data Science Hub
Students will learn fundamental data and computing skills using Python, R, SQL, and many more. These workshops are aimed towards Undergraduate students only. Registration required.

Student Evaluator and Data Analysis Assistant, UW Madison Division of Extension
The Student Assistant will support evaluation and data specialists in collecting, cleaning, analyzing and reporting data and findings. The information the student will be working with comes mostly from the 400+ community-based educators across the state. The UW-Madison Division of Extension helps them in assessing the impact of their state-wide education, and in telling their story through data. For information and to apply, please visit the Student Evaluator and Data Analysis Assistant position description.

Professional Opportunities


On Campus

Research Data Scientist, School of Medicine and Public Health
SMPH is seeking a highly motivated individual to join their informatics team in furthering their research and outreach activities. The University of Wisconsin School of Medicine and Public Health is embarking on an exciting mission of establishing state of the art computational, data and informatics infrastructure for supporting cutting edge biomedical research and innovation to care. They are seeking a Data Scientist to join their Informatics team and help them develop data pipelines for clinical and translational research. The incumbent will work independently and with other members of the Clinical Research Data Service to develop and implement clinical data pipelines from operational databases to clinical research data repositories. For more information and to apply, visit the Research Data Scientist position description.

Data Science Team Manager, Institute for Research on Poverty
This position manages the data science team at the Institute for Research on Poverty (IRP). This person oversees work using the Wisconsin Administrative Data Core (WADC). They manage staffing and workflows for, and may contribute directly to projects led by principal investigators across campus, primarily by preparing datasets for analysis. This includes extracting, cleaning, merging, and harmonizing large administrative data sets, as well as constructing longitudinal, analytical datasets. They may also support or perform analytic tasks and collaborate with data professionals at various WI State agencies. They will also work with IRP leadership to sustain and grow the WADC by acquiring additional funding, recruiting new data users, incorporating new additional data sources, and employing new data science techniques. For more information and to apply, visit the Data Science Team Manager position description.

Off Campus

Early Career Librarian Fellow, Townson University
The fellow will work on one of three program areas of their choice, choosing from topics of (1) research and instruction liaisonship, (2) digital archives, or (3) open educational resources. In the final year of the program, the Fellow will specialize in their chosen area(s) and work on a capstone project suited to their professional interests and to the needs of the library. A goal of this project is for the Fellow, working independently or with a mentor, to develop, complete, and report research or creative work at a conference or as a publication. The Fellow will serve on library and university committees and participate in professional organizations. The Fellow will benefit from formal and informal mentorship, funding and encouragement of professional development, and a focus on career planning. For more information and to apply, visit the position description for this Early Career Librarian Fellowship.

Data Management Education Specialist, Iowa State University Library
The Iowa State University Library seeks nominations and applications for the position of Data Management Education Specialist. As part of the Research Data Services (RDS) unit, the Specialist will play a key part in the University Library’s support and advocacy of responsible data management, data sharing, and open research practices such as computational reproducibility. The Specialist can expect to lead, co-teach, and plan a variety of data management education opportunities that build and improve upon the library’s current efforts. Identified areas of interest on campus include data wrangling in R and/or Python, Data and Software Carpentry lessons, introductions to Git and GitHub, advanced file management, data documentation, how to prepare data for sharing, and more. The specialist will pursue opportunities to develop and deploy curriculum in a variety of mediums and settings, both in person and virtual. For more information and to apply, visit the Data Management Education Specialist position posting.
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