Nucs AI
Clinical Operations & Enablement Lead(m/w/x)
VollzeitRemoteSenior
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
NUNucs AI
Machine Learning Scientist(m/w/x)
Berlin, München
VollzeitRemoteBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing novel ML/DL methods for medical image analysis in cancer care. PhD in ML/medical image analysis and strong publication record required. Meaningful equity, outsized influence, remote-first work.
Anforderungen
- PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field
- Strong publication record in relevant venues (medical imaging, clinical ML, computer vision)
- Experience structuring and executing research collaborations with academic and clinical institutions
- Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets)
- Strong programming skills in Python and deep learning frameworks (PyTorch preferred)
- Experience with medical imaging data (PET/CT, MRI, or similar modalities)
- Strong statistical foundations (experimental design, hypothesis testing, survival analysis, clinical biostatistics)
- Experience with nuclear medicine imaging & dosimetry (PSMA-PET, FDG-PET, SPECT)
- Expertise in treatment outcome prediction, survival analysis, or longitudinal modeling
- Experience with multi-modal data integration (imaging + clinical + genomic)
- Familiarity with clinical trial design and regulatory evidence requirements
- Prior industry experience translating research into deployed products
- Experience with graph neural networks, molecular representations, or drug-response modeling
- Experience with Generative AI in medical domain
Aufgaben
- Develop novel ML/DL methods for medical image analysis
- Apply ML/DL to segmentation and lesion detection
- Implement longitudinal tracking methods
- Predict treatment response
- Model treatment outcomes
- Design and conduct experiments
- Evaluate new approaches against clinical baselines
- Benchmark methods against state-of-the-art
- Stay current with scientific literature
- Propose research directions for product goals
- Propose research directions for scientific goals
- Publish findings in top-tier venues
- Represent Nucs AI at scientific conferences
- Collaborate with clinicians and medical physicists
- Ensure clinical grounding of methods
- Produce validated research outputs
- Document performance benchmarks
- Provide clear handoff specifications for engineering
- Contribute to clinical validation studies
- Generate evidence for regulatory submissions
- Collaborate with external academic partners on joint studies
- Support scientific diligence with pharma partners
- Support scientific diligence with clinical partners
- Contribute to Nucs AI's scientific credibility
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- CNNs
- transformers
- U-Nets
- PET/CT
- MRI
- PSMA-PET
- FDG-PET
- SPECT
- graph neural networks
- Generative AI
Benefits
Sonstige Vorteile
- Meaningful equity
Startup-Atmosphäre
- Outsized influence
Flexibles Arbeiten
- Autonomy and flexibility
- Remote-first work
Attraktive Vergütung
- Equity upside
- Competitive equity package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nucs AI erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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NUNucs AI
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Berlin, München
VollzeitRemoteBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Developing novel ML/DL methods for medical image analysis in cancer care. PhD in ML/medical image analysis and strong publication record required. Meaningful equity, outsized influence, remote-first work.
Anforderungen
- PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field
- Strong publication record in relevant venues (medical imaging, clinical ML, computer vision)
- Experience structuring and executing research collaborations with academic and clinical institutions
- Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets)
- Strong programming skills in Python and deep learning frameworks (PyTorch preferred)
- Experience with medical imaging data (PET/CT, MRI, or similar modalities)
- Strong statistical foundations (experimental design, hypothesis testing, survival analysis, clinical biostatistics)
- Experience with nuclear medicine imaging & dosimetry (PSMA-PET, FDG-PET, SPECT)
- Expertise in treatment outcome prediction, survival analysis, or longitudinal modeling
- Experience with multi-modal data integration (imaging + clinical + genomic)
- Familiarity with clinical trial design and regulatory evidence requirements
- Prior industry experience translating research into deployed products
- Experience with graph neural networks, molecular representations, or drug-response modeling
- Experience with Generative AI in medical domain
Aufgaben
- Develop novel ML/DL methods for medical image analysis
- Apply ML/DL to segmentation and lesion detection
- Implement longitudinal tracking methods
- Predict treatment response
- Model treatment outcomes
- Design and conduct experiments
- Evaluate new approaches against clinical baselines
- Benchmark methods against state-of-the-art
- Stay current with scientific literature
- Propose research directions for product goals
- Propose research directions for scientific goals
- Publish findings in top-tier venues
- Represent Nucs AI at scientific conferences
- Collaborate with clinicians and medical physicists
- Ensure clinical grounding of methods
- Produce validated research outputs
- Document performance benchmarks
- Provide clear handoff specifications for engineering
- Contribute to clinical validation studies
- Generate evidence for regulatory submissions
- Collaborate with external academic partners on joint studies
- Support scientific diligence with pharma partners
- Support scientific diligence with clinical partners
- Contribute to Nucs AI's scientific credibility
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- CNNs
- transformers
- U-Nets
- PET/CT
- MRI
- PSMA-PET
- FDG-PET
- SPECT
- graph neural networks
- Generative AI
Benefits
Sonstige Vorteile
- Meaningful equity
Startup-Atmosphäre
- Outsized influence
Flexibles Arbeiten
- Autonomy and flexibility
- Remote-first work
Attraktive Vergütung
- Equity upside
- Competitive equity package
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Nucs AI erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Nucs AI
Branche
Healthcare
Beschreibung
Nucs AI is an innovative MedTech startup, transforming the clinical management of prostate cancer through cutting-edge AI-powered software solutions.
Noch nicht perfekt?
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