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 to spend multiple weeks on data (and metadata) collection.
> But you can’t leave it all to the biologists because they don’t think about data the way data scientists do. You need someone who understands both what it means for data to be more information rich (even if they don’t use those exact words) and the practical requirements (such as metadata) that will make the data usable. In other words, you still need data scientists for strategy (3). But they should be spending their time designing datasets instead of models.
Exceptionally well said. Excited to see how you explore this is later posts and topics.
> But you can’t leave it all to the biologists because they don’t think about data the way data scientists do. You need someone who understands both what it means for data to be more information rich (even if they don’t use those exact words) and the practical requirements (such as metadata) that will make the data usable. In other words, you still need data scientists for strategy (3). But they should be spending their time designing datasets instead of models.
Exceptionally well said. Excited to see how you explore this is later posts and topics.