Experimenting Your Way to Success: Data Management in Biotech
Key Takeaways
* Iterative Data Hygiene: Perfect data management isn’t achieved all at once. Start with small, manageable steps to
Types of biotechs and their unique challenges
At Kaleidoscope, we work with and support a diverse range of biotechs, varying in size, stage, modality, method, and business
Ending the era of data-blind project managers
Project management in bio is a unique challenge of managing a complex web of data, milestones, decisions, and contexts over
When Being Too Thoughtful Backfires
You're building an incredible product/platform/drug and want to share the story. How do you do this
Failed biotech partnerships: defining and proving milestones
What causes biopharma partnerships to fail? Can these failures be mitigated? One such example: a failure to clearly align on
Stop Asking If You're an "AI Biotech Company"
The question of whether a biotech is an AI company or not has created a dichotomy that might be hurting
How well do you know your own biotech company?
Running a biotech means managing a complex engine of people and IP. Despite this complexity, the most successful industry leaders
The 'too early to track' fallacy
When does it make sense to start tracking your work? In this Kaleidoscope blog, we explore a common misconception in
The myth of biotech uniqueness
Every biotech is unique in some way, but biotechs have far more in common than most care to admit. In
The psychology behind documentation burden in science
We all know scientists hate documenting things. What's behind this and how can we begin to address it,
