Do you want your biotech data team to not just support the organization, but actively drive the research program?
The Reciprocal Development Principles are designed to make your team into superstars by shifting the way you, your team and your stakeholders understand your team’s role and how they work.
The list below links to the original posts about these principles in the Scaling Biotech Newsletter, but for the most detailed and insightful coverage check out my new (free) O’Reilly report, Leading Biotech Data Teams.
Defining Objectives
- Your highest priority is to drive progress towards your organization’s scientific objectives.
- Design projects around deliberate scientific objectives coordinated with the overall organization.
- The primary measure of progress is data-driven scientific discovery.
- The simplest technical solution that will reliably meet scientific objectives should be chosen over complex or novel approaches with marginal improvements.
Building Collaboration
- The most effective form of communication across functions and specialties is direct communications between individuals in each team.
- Collaboration across teams is more important than technical excellence within any one team.
- The key to successful collaboration is empathy for team members with different perspectives, priorities and responsibilities
- Delegating decisions and accountability as far down as you can is the only way to continuously adapt to an unknown and changing environment
Deploying Tooling
- Information should be captured in a FAIR system as early as possible and anything derived from it should remain in a FAIR system.
- Technical tools can only be effective when deployed in the context of good processes and communication patterns.
- Evolve processes and tools incrementally, in parallel, based on continuous feedback, rather than introducing major changes all at once.
- Development timelines should be deliberately coordinated with experiments to maximize opportunities for feedback.
Scaling Biotech 