Data Scientist / Data Engineer

• 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. We use GCP, but equivalent platforms are fine.
• A strong working understanding of data lineage, provenance, traceability, and reproducibility.
• Unusual attention to detail around data completeness, validity, consistency, and edge cases.
• Flexibility at adapting to new technologies

Awareness of good software practices

• Experience with imaging-based clinical trials, preferably in nuclear medicine.
• Experience supporting FDA-cleared medical devices or EU MDR compliance.
• Experience producing statistical analyses or technical evidence used in a regulatory submission.
• Experience with DICOM de-identification and anonymization workflows.
• Experience with model interpretability techniques such as SHAP.

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. We hire great people and trust them to deliver.
• Equity upside – Competitive equity package. We’re building something big and want you to share in it.