Job
- Level
- Erfahren
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
Job Zusammenfassung
In diesem Job entwickelst du robuste Datenpipelines für klinische Daten und entscheidest über statistische Analysen. Du arbeitest mit ML-Methoden, baust Dashboards und dokumentierst Datenqualität für regulatorische Anforderungen.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
- Working fluency with deep learning and modern LLM tooling.
- 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
Erfahrung
- 3+ years of relevant full-time experience in data science, data engineering, medical AI, medical imaging, or a closely related field.
- Practical experience with classical machine learning and explainable ML.
- Experience with cloud data infrastructure. We use GCP, but equivalent platforms are fine.
Unser Angebot
- 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.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Nucs AI
Nucs AI, ein in Berlin ansässiges MedTech-Unternehmen, entwickelt KI-Technologien zur Analyse medizinischer Bilddaten. Der Fokus liegt auf der automatisierten Erkennung und Überwachung von Prostatakrebs, um die klinischen Abläufe zu verbessern und individuelle Behandlungsentscheidungen zu fördern.
Description
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Gesundheitswesen, Soziales
Data Scientist / Data Engineer
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
