What you pick when you pick your tools
Science deserves thoughtfully-designed software
Science has progressed at an astounding rate over the last few decades, but the software powering
Traits of good data hygiene and organization in Life Science R&D
This is the third post in a series focused on good data practices in Life Sciences. Here, we recap some
People and culture: your biggest levers for data best practices
Knowing that data organization and hygiene matter in Life Sciences is one thing, but what proactive steps can you take
Data hygiene and organization: why you should (proactively) care
Proper data hygiene and organization are critical in Life Science R&D, where work is dynamic, collaborative, and growing
A Kaleidoscope of People: Dr. Mandana Manzari Honu
We're excited to introduce 'A Kaleidoscope of People', a series of posts that will focus on
Why biotechs should buy more of their software.
The software-for-bio landscape looks very different today than it did several years ago. At Kaleidoscope, we’ve spoken to numerous
Software + science: what tools are R&D teams using?
A lot of our work at Kaleidoscope involves listening to people who work in life sciences: trying to understand what
Why We Started Kaleidoscope
We've often been asked about what inspired us to build Kaleidoscope in the first place – of all the
Metadata: The 'How' and 'Why' Behind Your Science
This is the first post in a series that will cover what we’ve learned since starting Kaleidoscope: major challenges
