Scaling Biotech

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Accessing instrument data is an economics problem
In the past I've written that collecting instrument data is mostly a technical problem, compared to collecting metadata, which is a mix of technical and…
Automating data pre-processing requires (You guessed it) metadata
Recently, on this journey backwards through the user cases that biotech software needs to support, I discussed custom/interactive analysis. But when you…
Data (and metadata) beat models
Some of you may have noticed, as I’m going through different use cases for biotech software, that I spent a measly one week on analysis, but I’m about…
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In biotech, data is only half the story.
As we continue working backwards through the stages and use cases that software for biotech needs to support, we’re getting into the neighborhood of one…
It's OK to put your data in multiple places. (In fact, it's good.)
I missed a step! As you may already know, I’ve been going through different data-related use cases that a biotech startup’s software needs to support…
Don't let good be the enemy of good enough
As we work our way backwards through the different capabilities that biotech startups need their data tooling to support, we’ve so far gone through…
Don't build a wall between exploratory and canned analysis
A couple weeks ago, I argued that supporting analysis within a biotech isn’t a monolithic problem - the specifics and the context vary by a number of…
Scaling Biotech
Scaling Biotech
Turn your biotech data team into superstars.
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