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Nucs AI

Data Scientist / Data Engineer

Nucs AI
Berlin20 days ago
Data & AI
Data Engineering
Mid-Level
Hybrid

Summary

Nucs AI, an early-stage HealthTech company revolutionizing cancer care with AI and medical imaging, seeks a Data Scientist/Engineer. Key responsibilities include building auditable data pipelines in the cloud, performing statistical analysis, and applying machine learning methods. Requires strong Python, SQL, cloud computing, and data lineage skills.

Location
Berlin
Type
full-time
Level
Mid-Level
Work mode
hybrid

About Nucs AI

Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.

We sit at the intersection of diagnostics and treatment planning - building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.

Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity - moving with the rigor the medical field demands and the speed the problem deserves.

What you'll do

  • Build auditable data pipelines for large clinical, diagnostic, and medical imaging datasets in the cloud.

  • Own statistical analysis across clinical studies, diagnostic performance, model evaluation, and data quality.

  • Apply classical machine learning and deep learning methods to data analysis problems.

  • Automated ontology induction from medical documents using large language models.

  • Build dashboards and data observability tooling.

  • Maintain strong data lineage, provenance, traceability, and reproducibility across data workflows.

  • Produce analyses and supporting evidence that hold up in regulatory submissions and audits.

Data Scientist / Data Engineer

Nucs AI · Berlin

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