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In May 2026, I am embarking on a new chapter with TetraScience—and it begins with a move across the Atlantic.
We have formally established our European headquarters at the Swiss Innovation Park in Basel. To lead this expansion, I am relocating there from Boston.
This move is more than a geographical expansion; it is a manifestation of our core philosophy. At TetraScience, we believe the Scientific AI revolution in life sciences cannot be achieved from a distance. We must be embedded where science happens, where replatforming begins, and where cultural shifts take root.
From Building the Platform to Engineering the Outcome
When Patrick and I co-founded TetraScience, our conviction was clear: the industry needed a full-stack, AI-native scientific data platform. As CTO, I spent years architecting the "how," designing our Scientific Data Foundry and building the world’s first open platform for scientific data at scale.
In recent years, my role has shifted to the field. I’ve worked alongside our customers to architect the solutions and partnerships required to navigate their Scientific AI journeys.
The lesson is clear: the gap between a platform that is technically ready and one that delivers transformative outcomes isn't a software problem. It is a cultural and operational chasm, one that grows wider as organizational entropy and AI's potential accelerate in tandem.
The only way to bridge the gap is showing up in person. You can’t close the gap on Zoom. TetraScience needs to be forward-deployed, physically and mentally, to live through the friction of our customers’ replatforming. We must operate as true partners, sharing the responsibility for outcomes and business impact.
Why Basel? The Heart of the Supercluster
Basel is, by any honest measure, one of the densest life sciences ecosystems on the planet. Novartis, Roche, Syngenta, Lonza, Sandoz, BeOne, and hundreds of biotech and CDMO organizations that define the frontier of modern drug innovation are concentrated within minutes of each other. The Swiss Innovation Park sits at the connective tissue of this supercluster, the only coworking space embedded directly on the Novartis Campus itself.
Being here enables high-bandwidth collaboration that remote work cannot replicate. It drives iteration velocity and forges the trust that only proximity can build.
This reflects the philosophy of our Takeda SAIL program: transformation doesn't happen to customers, it happens with them. We are forward-deploying because that is what this moment demands.
The Rise of the Sciborg — and Why It Requires Presence
Patrick has previously written about Eroom's Law—the reality that drug development is becoming slower and more expensive despite technological gains. The antidote is industrializing AI-native data: transforming siloed data into governed, reusable datasets and AI use cases, deployed through a new operating system and a new class of operators.
We call the operating system the Tetra OS, and we call these operators Sciborgs.
A Sciborg is a hybrid scientist-engineer who sits at the nexus of science, data, and models. They ensure that architecture not only gets built, but becomes part of an organization’s culture. As the human layer of Tetra OS, Sciborgs propagate best practices across sites and turn adoption into muscle memory. They are the neural system of the scientific enterprise.
This cannot be done from a distance. You have to see the friction in the lab—both wet and dry. You have to understand the legacy bottlenecks that no ticket system will ever capture. We must co-create solutions with those who live inside these workflows every day, forging a real capacity for compounding scientific intelligence. We must obsessively bring these solutions back to our Scientific Use Case Factory and Data Foundry for productization and industrialization.
That's what being forward-deployed means. And that's what we're building in Basel and across key life sciences and pharma hubs across the globe.
Join Us in Basel
In early May, Patrick will be traveling across Europe to visit our customers and align our growth with the industry’s ambition to accelerate discovery.On May 27, I will be speaking at Future Labs Live at the Congress Center Basel. I’ll be discussing the operating models necessary to accelerate Scientific AI outcomes across the life sciences.
We would love to connect while we are in town. If you’re interested in meeting or learning more, please reach out. And if you want to be part of the team, we're hiring for the following roles in the area Basel and Germany:
- Scientific Solutions Partner – Pre-Sales — Partner with sales to architect and demonstrate transformative solutions
- Scientific Data Architect — Design and prototype the data flow and use cases at all levels of Scientific Data and AI stack, turn data into outcomes
- Technical Enablement and Developer Relations Lead - Enable life sciences data teams to successfully build on TetraOS through training, documentation, and developer community
See you in Basel.
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(Top photo credit: Paul Tait)