Image by Niek Verlaan from Pixabay In my last few posts, I’ve been exploring how differences in mental models can get in the way of integrating data teams into a biotech organization. It’s been a lot of doom and gloom. But it’s finally time to shift gears and start exploring solutions. So in this post,Continue reading “Building Consensus in a Biotech Organization”
Author Archives: Jesse Johnson
Changing Mental Models
In my last few posts, I’ve been exploring how building shared mental models is key to integrating data teams into biotech organizations, particularly “tech biotechs” that have a significant AI/ML component. I’m working towards a series of posts about specific things you can do to help build these SMMs, but before we get there IContinue reading “Changing Mental Models”
ML vs Wet Lab: The Great Impedance Mismatch
In my last couple of posts, I discussed how different mental models between digital and wet lab teams cause friction in the flow of information across biotech organizations, particularly for so-called tech biotechs that rely on extensive collaboration between the two. In this post, I will explore how it impacts the second leg of theContinue reading “ML vs Wet Lab: The Great Impedance Mismatch”
A better ELN won’t solve your problems
In my last post, I argued that a lack of shared mental models is one of the biggest problems facing tech biotechs because it impedes the cycle of information flow between wet lab and digital teams. This time, I want to explore the first branch of that cycle: How data and metadata get from theContinue reading “A better ELN won’t solve your problems”
The Giant Hidden Problem Plaguing Tech Biotechs
I’ve spent much of the last few years thinking about how to integrate data teams into biotech organizations, mostly circling around an idea I couldn’t quite put my finger on. But I recently learned it has a name: Shared Mental Models This is pretty much what it sounds like: Everyone brings their own set ofContinue reading “The Giant Hidden Problem Plaguing Tech Biotechs”
Year-end Summary 2021
Image by hudsoncrafted from Pixabay I started writing this blog in early 2020, but it was only this year that I started writing regularly, here and on my newsletter. When I started, I didn’t know exactly what I wanted to write about, or why I wanted to write it, beyond generally wanting to get backContinue reading “Year-end Summary 2021”
A platform story reference guide
Image by FelixMittermeier from Pixabay Scaling a biotech organization requires you to communicate a vision, a design and a plan to an organization full of people with diverse backgrounds and mindsets. In the past two posts I explored how stories can help you do this by communicating different pieces of a larger “universe” packaged inContinue reading “A platform story reference guide”
Structuring communication with stories
Photo by Patrick Tomasso on Unsplash Scaling a biotech platform requires getting a group of people from different backgrounds and perspectives to understand a common vision and plan. But it can sometime be difficult to recognize where the differences and gaps are. So, how can you make sure you’re communicating all the things that youContinue reading “Structuring communication with stories”
Communicating with Stories
Image by Gerhard G. from Pixabay Scaling a Biotech research platform requires getting many people from a wide range of backgrounds and mindsets to adopt a common vision and plan. The more variation and inconsistency about what your colleagues think they’re working towards, the harder it’s going to be to coordinate the work that willContinue reading “Communicating with Stories”
Distributed Metaphors
Photo by Omar Flores on Unsplash Scaling a biotech research platform requires combining a collection of different software systems and components into a single coherent whole, aka a Chimera Data Platform. To keep this system maintainable as it grows, it needs enough consistency to ensure that a small group of developers can quickly understand eachContinue reading “Distributed Metaphors”
Scaling Biotech 