🥠Good Luck Babe
Próspero Año y Felicidad
Welcome to the ninety first ever issue of Monday Morning Data Science from the Fred Hutch Data Science Laboratory. We are excited to show you what we have been working on (Fresh from the Lab), plus links that we think you would be interested in (Our Weekly Bookmarks Bar). Part of the purpose of this newsletter is to start conversations, so if you have a question or there is something you would like to share with us please let us know by responding directly to this email.
Fresh from the Lab
[Job Opportunity: Executive Assistant to VP/Officer] We are looking for an Executive Assistant to the VP/CDO, which involves providing high-level administrative support, managing complex schedules, coordinating events, handling sensitive information, and facilitating effective communication within our team. This position requires exceptional organizational skills, discretion, and adaptability.
Our Weekly Bookmarks Bar
[Book: Applied Data Skills] Emily Nordmann and Lisa DeBruine teach essential techniques for transforming raw data into summaries and visualizations using R. This 10-week program covers data cleaning, processing, summarization, visualization, and creating dynamic reports, with materials including walkthrough videos and hands-on exercises. The course emphasizes practical application, encouraging coding practice, troubleshooting, and problem-solving in real-world data tasks.
[Article: New Report Highlights the Scientific Impact of Open Source Software] Open-source software has become a cornerstone of scientific discovery, powering advancements like AlphaFold, which predicts protein structures and aids in understanding biological functions. These tools enable researchers to analyze complex datasets, facilitating breakthroughs in areas such as drug development and pandemic response. Despite their transformative impact, the underfunding of open-source projects threatens their sustainability, underscoring the need for collaborative funding efforts to support the essential infrastructure driving global scientific progress.
As always you can contact us by replying directly to this email, you can contact the Data Science Lab at data@fredhutch.org, or you are welcome to join us on the Fred Hutch Data Slack Workspace. For more information about the Fred Hutch Data Science Lab, visit our website: https://hutchdatascience.org/. See you next week!
- The Fred Hutch Data Science Laboratory