Welcome to the one hundred and twentieth 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’re Hiring: Data Scientist II] We are looking for someone who will analyze multimodal healthcare and research data, including electronic health records, genomics, imaging, and oncology datasets to improve understanding of clinical care and patient outcomes. The role involves building predictive and AI-driven models, supporting observational cancer research with the OMOP data model, and creating scalable data science workflows and ethical data stewardship practices across Fred Hutch.

• [We’re Hiring: Translational Technology Staff Scientist] We’re looking for a Senior Staff Scientist who will focus on evaluating and advancing data, AI, and cloud technologies that support translational research, precision oncology, and multimodal patient data initiatives. The position bridges scientific research and technical infrastructure by collaborating with researchers, engineers, and institutional stakeholders to assess emerging technologies, lead pilot projects and grant initiatives, and ensure scalable, secure, and compliant solutions for complex biomedical data challenges.

• [Conference Opportunity: AnVIL Community Conference] Register now for the AnVIL Community Conference, taking place in Cambridge, MA from August 31-September 1, 2026. AnVIL is a cloud-based, NIH-funded platform that enables researchers to securely store, share, and analyze large-scale genomic and biomedical datasets in a unified environment. AnVIL integrates tools for genomics, AI, workflow execution, and collaborative research, helping scientists perform scalable analyses without needing to download massive datasets locally.

Our Weekly Bookmarks Bar

• [Blog Post: Returning to Life!] Friend of the Lab Hadley Wickham reflects on the promise and risks of AI, and his concerns about AI’s environmental costs, copyright issues, and unequal access. He argues that the tension between AI’s benefits and harms is complex and requires thoughtful, balanced engagement rather than extreme optimism or pessimism.

As always you can contact us by replying directly to this email, or if you work within the Fred Hutch/University of Washington/Seattle Children’s Cancer Consortium 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 in two weeks!

- The Fred Hutch Data Science Laboratory