🔶 Why Reesi Exists
Every year, more than 500,000 people in Germany are diagnosed with cancer. For many of them, a clinical trial could be the best available treatment option — yet only 5% ever participate.
Not because trials don't exist. But because doctors often don't know which trials are running, where, and whom to contact.
Reesi is changing that.
We're building Europe’s search and matching platform for oncology trials — giving physicians and patients the fastest, most accurate way to understand which trials are a fit.
With Reesi, doctors can find suitable trials in minutes — transparently, data-driven, and securely. We're also partnering with leading media companies to bring this access directly to patients.
Traction: 250+ hospitals, 1,000+ physicians. Now we're scaling across Europe.
Tasks
🔶 The Role
You'll build the backbone of Reesi’s next evolution — evolving our production platform into a unified, scalable system that can serve physicians and patients across Europe.
The core challenge: unifying systems, streamlining data flows, and building the next layer of our backend architecture.
We already have a working platform (Bubble frontend, Cloudflare Workers for heavy logic, Supabase as our emerging data layer). Your job is to turn these components into one cohesive architecture and extend our custom-code foundation.
You’ll work directly with the founders (medical doctor + experienced entrepreneur) and our small engineering team.
You’ll have real room to shape the architecture and set foundational patterns for the entire platform.
🔸 Full-Stack Ownership
Although this role is backend- and architecture-heavy, you will work across the full stack when needed. At Reesi, engineers own features end-to-end:
* End-user-facing UI: You’ll implement polished, production-quality interfaces based on designer-provided mockups.
* Internal tools & dashboards: You’ll build simple, functional UIs yourself — not pixel-perfect, but clear, usable, and reliable for daily workflows.
* Backend, data, and AI logic: You own the logic that powers both internal and external systems.
If you enjoy building complete slices of a system — from database models to backend services to the UI that exposes them — this role is a great fit.
If you prefer a backend-only role with no UI involvement, this role won’t be the right match.
AI is part of our core workflow, and we expect you to use modern AI tools to accelerate development, structure logic, and support decision-making.
🔶 What You'll Work On
🔸 Platform & Data Architecture
* Build and evolve our Supabase/Postgres setup (schemas, RLS, auth, edge functions)
* Model complex domains: clinical trial parameters, medical indications, sites, patient attributes
* Connect Bubble, Cloudflare Workers, and Supabase into a unified platform
* Design internal and partner-facing APIs for trial data
🔸 Migration & Scalability
* Extend our custom-code layer and gradually move core workflows to a scalable architecture
* No big-bang rewrite — pragmatic, modular evolution
* Build new features directly on top of a future-proof backend
* Ensure readiness for European-scale usage
🔸 Backend Services & Infrastructure
* Expand and maintain Cloudflare Workers for business logic and data pipelines
* Build services that support AI-driven workflows and matching algorithms
* Monitoring, logging, performance, and reliability improvements
* Strengthen security and compliance for health-related data
🔸 AI-Powered Matching
AI is at the heart of Reesi.
You'll build the technical foundations that allow us to:
* match patients to trials using complex medical features
* run intelligent search and decision-support workflows
* integrate continuously evolving AI models
* automate complex medical data interpretation
Requirements
🔶 What You Bring
🔸 Must-Have
* Senior-level experience in Backend, Platform, or Infrastructure Engineering
* Deep PostgreSQL expertise (Supabase experience is a plus)
* Strong TypeScript (or strong JS + willingness to master TS)
* Experience with serverless/edge environments (Cloudflare Workers, Vercel, AWS Lambda, etc.)
* Strong understanding of API design, data modeling, and cloud security
* Systems thinking: you design architectures that hold up long-term
* Comfort working in hybrid setups (No-Code + Code)
* Willingness to work full-stack when needed
🔸 Nice-to-Have
* Experience with data pipelines, ETL, vector DBs, or AI/ML data architectures
* Experience with complex relational domains
* Knowledge of GDPR and health-data requirements
* Experience in small, fast-moving teams
Benefits
🔶 Why Join Reesi
🔸 Mission-Driven Work
Every system you build helps physicians and patients access potentially life-saving treatments.
This is real-world impact used daily in hospitals.
🔸 Build Europe’s Clinical Trial Infrastructure
You're not maintaining a system — you're building the platform that will democratize trial access across Europe.
🔸 Real Ownership
* Small, focused team
* Work directly with founders
* Your decisions shape the product weekly
* No corporate overhead, fast execution
🔸 Technically Exciting
* AI-enabled matching
* State-of-the-art models
* Modern stack: Supabase, Cloudflare Workers, TypeScript
* Complex medical data modeling
* Health data security
* European scalability
🔸 How We Work
* Full-time, starting ASAP
* Remote-first (HQ Hamburg)
* Async-friendly
* Builder culture — we build, test, learn
Let's revolutionize access to clinical trials in Europe together!
Every year, many cancer patients never learn about clinical trials that could help them — not because the trials don't exist, but because the information is fragmented, inconsistent, and difficult to search. This challenge delays over 80% of clinical trials and prevents more than 30% of eligible patients from accessing potentially life-saving treatments.
Reesi is a web-based AI platform that brings structure and transparency to this landscape. Our technology uses large language models to read and harmonize clinical trial data from scattered sources such as registries, publications, and network databases. The AI extracts and normalizes complex medical parameters like biomarkers, therapy lines, and eligibility criteria, transforming unstructured text into a unified, searchable format. This allows healthcare professionals to identify relevant trials within seconds instead of manually reviewing documents.