Beschreibung

About Nucs AI

Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024, we're tackling the growing demand for accurate, timely cancer diagnostics. We build AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence, starting with prostate cancer and expanding across oncology. Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide.

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.
Use LLM-based methods to extract structured data from clinical documents and reports.
Build dashboards and data observability tooling.
Investigate and document missing, inconsistent, invalid, and implausible data.
Maintain strong data lineage, provenance, traceability, and reproducibility across data workflows.
Produce analyses and supporting evidence that hold up in regulatory submissions and audits.

What we're looking for

3+ years of relevant full-time experience in data science, data engineering, medical AI, medical imaging, or a closely related field.
Strong statistical depth applied to messy clinical or diagnostic data.
A track record of building and maintaining data pipelines at scale.
Comfort working with medical imaging formats including DICOM and NIfTI.
Practical experience with classical machine learning and explainable ML.
Working fluency with deep learning and modern LLM tooling.
Experience with cloud data infrastructure (GCP preferred).
A strong working understanding of data lineage, provenance, traceability, and reproducibility.
Unusual attention to detail around data completeness, validity, consistency, and edge cases.

Why Nucs AI

Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated.
Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take.
World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally.
Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets.
Autonomy and flexibility – Remote-first, flexible working.
Equity upside – Competitive equity package.