Nucs AI
Medical Affairs Lead(m/w/x)
Full-timeRemoteExperienced
Berlin
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NUNucs AI
Machine Learning Scientist(m/w/x)
Berlin, München
Full-timeRemoteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- CNNs
- transformers
- U-Nets
- PET/CT
- MRI
- PSMA-PET
- FDG-PET
- SPECT
- graph neural networks
- Generative AI
Benefits
Other Benefits
- Meaningful equity
Startup Environment
- Outsized influence
Flexible Working
- Autonomy and flexibility
- Remote-first work
Competitive Pay
- Equity upside
- Competitive equity package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nucs AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NUNucs AI
Machine Learning Scientist(m/w/x)
Berlin, München
Full-timeRemoteExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- CNNs
- transformers
- U-Nets
- PET/CT
- MRI
- PSMA-PET
- FDG-PET
- SPECT
- graph neural networks
- Generative AI
Benefits
Other Benefits
- Meaningful equity
Startup Environment
- Outsized influence
Flexible Working
- Autonomy and flexibility
- Remote-first work
Competitive Pay
- Equity upside
- Competitive equity package
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nucs AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Nucs AI
Industry
Healthcare
Description
Nucs AI is an innovative MedTech startup, transforming the clinical management of prostate cancer through cutting-edge AI-powered software solutions.
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