Welcome to the ninety sixth 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 Resource: Fred Hutch Treatment-Related Mortality (TRM) Calculator] We are launching a new, publicly available Treatment-Related Mortality (TRM) Calculator to assist clinicians in evaluating TRM risk for patients with acute myeloid leukemia (AML). Built on regression models developed by Walter et al., this tool provides a quick, evidence-based estimate of TRM probability using key patient factors including age and lab measurements. Click the link above to explore the new iteration of this app, featuring improved clarity and accessibility changes to support clinical decision making.
[We Are Hiring: Jobs! Jobs! Jobs!] We are looking for three exciting roles: a Data Governance Specialist III to lead our Consortium and Clinical Data Governance program, a Data Scientist II to develop computational tools for bioinformatics research, and an Analytics Engineer II to build data models and pipelines for AI-driven science. Each role plays a crucial part in advancing cancer and infectious disease research by enabling ethical data stewardship, creating scalable bioinformatics workflows, and ensuring high-quality, accessible research data. If you're passionate about data, collaboration, and making a real impact in healthcare, click on the link above to apply today.
Our Weekly Bookmarks Bar
[Article from the Archives (2020): Built to Last] COBOL is a decades-old programming language still used in vital systems, such as unemployment insurance and financial transactions. Despite being blamed for failures during the COVID-19 pandemic's surge in unemployment claims, the real issues were not with COBOL itself but with inadequate support and infrastructure. This article from LOGIC magazine highlights COBOL's enduring robustness and the cultural biases that have marginalized it within the tech industry.
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