Welcome to the sixty 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
[Blog Post: Launching PROOF] Creating and running bioinformatics workflows efficiently and consistently is crucial for research, however it can be tough to manage these workflows, especially when using different computing systems or platforms. To enable expanded use of workflows written using the WDL language, we have developed a new, open source tool, PROOF (Production Research On-ramp for Optimization and Feasibility). PROOF allows Fred Hutch staff to easily run their WDL workflows using our cluster, so you you can focus on your science, not the logistics of running and managing your computing tasks. It's now easier to than ever to get your workflows up and running and using a workflow language that is easily portable to other computing systems and platforms!
[Job Posting: Data Governance Specialist III] We're hiring a data governance specialist to focus on driving institution-wide efforts around AI governance, research data protection for data with regulatory requirements, and defining best practices for Fred Hutch staff around data management, stewardship and analytics. This role will join our emerging data governance team as a foundational member to advise our group and lead coordination efforts with subject matter experts around the Fred Hutch such as Compliance, Business Development, Legal and IT. Find out more about the position and apply by clicking the link above.
Our Weekly Bookmarks Bar
[Blog Post: “AI will cure cancer” misunderstands both AI and medicine] Rachel Thomas's post critically examines the optimistic belief that AI will cure cancer, highlighting that such claims oversimplify the complexities of both AI and healthcare. She discusses the inherent biases and inequalities in the medical system, the limitations of AI in addressing these issues without considering patient perspectives, and the importance of participatory approaches in medical research to truly harness AI's potential for transformative change in medicine.
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