Data Scientist

About Lyceum

Lyceum is building a user-centric GPU cloud from the ground up. Our mission is to make high-performance computing seamless, accessible, and tailored to the needs of modern AI and ML workloads. We're not just deploying infrastructure, we’re designing and building our own large-scale GPU clusters from scratch. If you've ever wanted to help shape a cloud platform from day one, this is your moment.

Tasks

The Role

We’re hiring a user-obsessed Data Scientist with Life Sciences experience to bridge real bio / health workflows and our product. You’ll partner with users and customers to understand and integrate deployment workflows, to make our platform the default compute backbone for bio / health AI.

What You’ll Do

• Understand : analyze end-to-end LS pipelines and pinpoint pain points
• Translate : convert user insights into crisp specs and priorities
• Validate : define reference workflows / benchmarks and measure impact
• Activate : create quickstarts / guides; improve onboarding & success metrics
• Accelerate : identify bottlenecks and turn perf wins into product

Requirements

What We’re Looking For

Bonus Points

Lyceum is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

At Lyceum, we believe accessing computing power should be as simple as plugging into a socket. That’s why we’ve built the first platform that doesn’t just connect you to GPUs and CPUs - it brings them to you.

We simplify the deployment of AI models and data-heavy workloads by removing all infrastructure complexity. Developers can launch compute jobs directly from their IDE, while our system automatically assigns the ideal hardware and schedules workloads at times of low energy prices. No overprovisioning, no DevOps overhead - just 100% efficiency.

Lyceum is a European deep-tech company operating 100% sovereign, renewable-powered data centers - starting with our first site in Denmark and a roadmap to scale to 10MW capacity by 2026.