🍔 A Pirate Looks at Forty

This issue is full of treasure (seriously)

Welcome to the forty third 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

• [(New!) Job Posting: DaSL Partnerships Specialist] This position will help the Data Science Lab engage with external technology and data partners to maximize our community’s ability to leverage external resources to advance science and clinical care.  The Partnerships Specialist works under the overall leadership and supervision of the Chief Data Officer and collaboratively with the Fred Hutch offices of philanthropy and business development.  Find out more about the position and apply above!

• [(New!) In-Person Courses and Seminars: DaSL Training Season 1] We are excited to announce a long-form class and short-form seminars this fall to engage research and clinical professionals in the joy and practice of data science! We will offer a 6-week course on the fundamentals of programming and data science using R, in addition to repeating short seminars on using the Command Line for scientific computing and using Git and Github for reproducible and collaborative research. Check out the link above to sign up.

• [(New!) Article: Tech Hiring for Science] Are you a scientist, clinician-researcher, or a leader in biomedical science and looking to hire a technical person on your team? Hiring technical people in scientific settings can be challenging due to the unique skillset and experience needed for these roles and the difficulty of evaluating candidates. The members of the Data Science Lab gathered resources, best practices, and advice on how to navigate the hiring process.

• [Event: R User Group] Tuesday 9/5 at 1pm the monthly R User Group will be meeting in the Arnold building in M1-B406 and 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 in future iterations of this event.

Our Weekly Bookmarks Bar

• [Blog Post/Talk: Being Glue] by Tanya Reilly. Your job title says "software engineer", but you seem to spend most of your time in meetings. You'd like to have time to code, but nobody else is onboarding the junior engineers, updating the roadmap, talking to the users, noticing the things that got dropped, asking questions on design documents, and making sure that everyone's going roughly in the same direction. If you stop doing those things, the team won't be as successful. But now someone's suggesting that you might be happier in a less technical role. If this describes you, congratulations: you're the glue. If it's not, have you thought about who is filling this role on your team?

• [Talk: Efficiently Engineering Bigger Data with Arrow] by Nic Crane. Apache Arrow is a groundbreaking cross-language development platform designed to boost the performance of analytical algorithms and foster system interoperability. By standardizing in-memory columnar data representation, Arrow addresses the challenges posed by the diverse big data ecosystem. Nic Crane delves into how you can take advantage of the best features of Arrow.

As always you can contact us by replying directly to this email, you can email Jeff Leek, Amy Paguirigan, and Sean Kross 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