10d 11h ago
Data Scientist
Nucs AI·Data Scientist (AI/ML) · Medical AI
🏢Hybrid
|Berlin, Germanymlstatistical_analysis
Data Scientist
Nucs AI | Data Scientist (AI/ML) | Medical AI
Hybrid
Full Time
Germany, Berlin, Munich
Source not independently verified
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Position:
Data Scientist / Data Engineer
Company:
Nucs AI
Location:
Germany, Berlin or Munich
Employment type:
Full Time
Work Arrangement:
Remote, Hybrid, Onsite
Short Summary:
Nucs AI is revolutionizing cancer care through AI and medical imaging technology, focusing on enhancing diagnostic precision and expanding access to expert-level cancer care.
Responsibilities:
- 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.
Requirement:
- 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 or equivalent).
- Strong 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 and awareness of good software practices.
Benefits:
- 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.
Data Scientist / Data Engineer
Company:
Nucs AI
Location:
Germany, Berlin or Munich
Employment type:
Full Time
Work Arrangement:
Remote, Hybrid, Onsite
Short Summary:
Nucs AI is revolutionizing cancer care through AI and medical imaging technology, focusing on enhancing diagnostic precision and expanding access to expert-level cancer care.
Responsibilities:
- 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.
Requirement:
- 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 or equivalent).
- Strong 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 and awareness of good software practices.
Benefits:
- 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.
Required Skills
mlstatistical_analysis
Required Languages
🇬🇧 English
Key competency: Data Scientist (AI/ML)