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Welcome to the twenty fourth 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
[We are Hiring!] DaSL is on the hunt for a Data Science Project Manager to join our team ASAP! If you or someone you know might be interested in joining a small but growing team, is game to be creative and collaborative, and is an excellent wrangler of humans and details to help DaSL get projects off the ground and shipped, send them our way! Apply any time directly via the job listing linked above.
[App Launch: DMS Helper] DaSL is launching a new version of our NIH Data Sharing and Management (DMS) Helper! This tool is designed to help you write your NIH Data Sharing Plan quickly and easily. In this version, you can add multiple different research cores with an easy drop-down menu. Try it out today and see how it can save time on your next grant application. To learn more, also check out our NIH Data Sharing Course.
[Event: R User Group] Tuesday 4/18 at 1pm the monthly R User group will be meeting online only on Teams. If you would like to talk about an R subject that you are interested please let Sean know so that the Data Science Lab can support you!
Our Weekly Bookmarks Bar
[Event: R Ladies Seattle] Thursday April 20th at 3pm R Ladies Seattle is convening to discuss life in a great outdoors and data analysis with speakers Cailyn Spurrell, Jadey Ryan, and Katie Jolly. RSVP at the link above!
[Event: Seattle R User Group] The festivities continue on Thursday April 20th at 6pm where the Seattle R User Group will be hosting an evening of lightning talks. Sign up to give a talk here and RSVP for the event at the link above.
[Blog Post: What Are Transformer Models and How Do They Work?] Transformers are a new development in machine learning that have been making a lot of noise lately (the T in ChatGPT). They are incredibly good at keeping track of context, and this is why the text that they write makes sense. In this blog post, Luis Serrano goes over their architecture and how they work.
As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross at firstname.lastname@example.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