Introduction
At this year’s Bio-IT World Conference, the Innovative Practices Awards didn’t just recognize cool technology—they highlighted what it actually takes to build a smarter, faster, and more trustworthy R&D operation.
From national health systems to nimble biotech innovators, the common thread was clear: success comes from well-structured data, scalable systems, and a strong foundation of privacy and collaboration.
These aren’t just lofty ideals—they’re technical challenges. And the right data science team can help you tackle them head-on.
Genmab’s Chromatography Platform: From Fragmented to Flowing
What they did: Genmab and Genedata created Chromatics, a centralized platform to manage and interpret chromatography data across discovery and development.
Why it worked: It automated repetitive work, reduced errors, and aligned cross-functional teams with one source of truth.
How a data science team helps:
We build interoperable pipelines and dashboards to unify experimental data—whether it’s chromatograms, flow cytometry, or next-gen sequencing. You’ll stop stitching data together and start drawing real insights faster.
NHS England’s PET Platform: Secure, Scalable, Smart
What they did: The NHS implemented a platform to audit and apply privacy protocols to patient data—making sensitive data accessible for research, without compromising privacy.
Why it worked: It balanced data access with regulatory compliance—a rare combination.
How a data science team helps:
We can help you implement privacy-preserving techniques like de-identification, federated learning, and access controls to let your R&D teams move fast and stay compliant with evolving data governance standards.
Pistoia’s FAIR Maturity Matrix: Measuring What Matters
What they did: They introduced a maturity model for how well an organization is implementing FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Why it worked: It gave teams a benchmark—not just aspiration—to align people and platforms.
How a data science team helps:
We can operationalize FAIR by helping you build metadata standards, data registries, and APIs that ensure your data doesn’t die in a silo. Even small teams can start FAIR with the right help.
Want to Follow in These Winners’ Footsteps?
Here’s what they all had in common:
- Data interoperability across teams and tools
- Built-in privacy and compliance
- Modular infrastructure over one-off fixes
- Clear standards and metrics for maturity
You don’t need a 10-person internal informatics team to get there—but you do need strategic data science support.
Outsourcing Bioinformatics Analysis: How Bridge Informatics (BI) Can Help
Let’s build the infrastructure that makes your science scalable.
Whether you’re starting from scratch or modernizing legacy systems, our team helps biotech and pharma companies move from manual to meaningful. By building on the lessons learned from these award winners in biotech innovative practices, BI can help you on every step of your research journey. Click here to schedule a free introductory call with a member of our team.
