20 beste Stellen als data scientist in berlin – aktuell auf Personalsuche

Machine Learning Scientist
Nucs AI —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
Direkt bewerben
Data Scientist (f/m/d)
PAIR Finance GmbH —Berlin
- 58.000 € – 73.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Flexible Arbeitszeiten
Direkt bewerben
Senior Data Scientist (m/f/x)
Makersite GmbH —Berlin
- 80.000 € – 100.000 € pro Jahr
- Vollzeit
- Homeoffice
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
Data Scientist
Reflow —Berlin
- Vollzeit
- Homeoffice
- Führungserfahrung
Direkt bewerben
Principal Machine Learning Scientist (all genders)
Bayer —Berlin
- 104.300 € – 126.500 € pro Jahr
- Teilzeit
- Doktorat
Junior Data Scientist (m/w/div)
Deutsche Rentenversicherung Bund —Berlin
- Teilzeit
- Datenanalyse
- Datenbanken
- SQL
- Weiterbildungsprogramme
Data Scientist (w/m/d)
Kienbaum Consultants International GmbH —Berlin
- Teilzeit
- Informatik
- Datenanalyse
- Englisch
Data Scientist - AI & Experimentation (m/f/d)
Pflegia —Berlin
- 42.000 € – 75.000 € pro Jahr
- Homeoffice
- Master
- Homeoffice-Möglichkeit
Direkt bewerben
Materials Informatics Scientist (Evaluation-focused)
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Master
Direkt bewerben
Data Analytics Engineer (m/f/d)
adsquare GmbH —Berlin
- 60.000 € – 75.000 € pro Jahr
- Vollzeit
- Doktorat
- Informatik
- Master
AI Engineer / Data Scientist (mwd) – Machine Learning & Generative AI
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Informatik
- Datenanalyse
- Java
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
Archon Labs - Data Scientist
deCircle —Berlin
- Vollzeit
- Homeoffice
- Keine Berufserfahrung erforderlich
- Bachelor
Direkt bewerben
Referent Data Science & Reporting (m/w/d)
S-Kreditpartner GmbH —Berlin
- Per E-Mail
- Informatik
- Datenanalyse
- SQL
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Data Scientist / Data Engineer
Nucs AI —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
Senior Risk Data Scientist - Remote Work
BairesDev —Berlin
- Homeoffice
- Führungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Data Scientist (Deep Learning) (m/f/d)
Audatic —Berlin
- Master
- Bachelor
- Kommunikationsfähigkeit
Associate Supply Chain Scientist (d/f/m)
4flow SE —Berlin
- Vollzeit
- Master
- Employee Assistance Program
- Flexible Arbeitszeiten
Senior Machine Learning Scientist / Data Engineer - Logistics Algorithms (all genders)
Zalando —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
- Umzugskostenzuschuss
ML Ops Engineer
Zeta Global —Berlin
- Informatik
- Master
- Flexible Arbeitszeiten
Data Scientist / Data Analyst (w/m/d)
HiSolutions AG —Berlin
- Vollzeit
- Hybrides Arbeiten
- Datenanalyse
- Kommunikationsfähigkeit
Direkt bewerben

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data scientist jobs near berlin

Machine Learning Scientist

Nucs AI
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Doktorat
Medizinische Bildverarbeitung

Vollständige Stellenbeschreibung

About Nucs AI

Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity.

We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice.

Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves.

The Opportunity

Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to develop novel approaches to medical image analysis, treatment outcome prediction, and multi-modal clinical data integration - and see those methods reach real clinical settings.

You’ll work at the intersection of ML research and clinical application, collaborating closely with physicians, medical physicists, and experienced engineers with deep domain expertise. Together, you’ll develop methods that are scientifically rigorous and clinically meaningful. Your work will directly shape our product capabilities and contribute to peer-reviewed science.

What You’ll Do

Research & Method Development

Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection, longitudinal tracking, treatment response prediction, and outcome modeling
Design and conduct experiments to evaluate new approaches against clinical baselines and state-of-the-art methods
Stay current with the literature and propose research directions that advance Nucs AI’s product and scientific goals
Publish findings in top-tier venues (MICCAI, RSNA, JNM, Medical Image Analysis) and represent Nucs AI at scientific conferences

Clinical Translation

Collaborate with clinicians and medical physicists to ensure methods are grounded in clinical reality
Produce validated research outputs with documented performance benchmarks and clear handoff specifications for production engineering
Contribute to clinical validation studies and evidence generation for regulatory submissions

External Engagement

Collaborate with external academic research partners on joint studies
Support scientific diligence with pharma and clinical partners
Contribute to Nucs AI's scientific credibility in the field

What You Bring

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, etc.)
Strong programming skills in Python and deep learning frameworks (PyTorch preferred)
Experience working with medical imaging data (PET/CT, MRI, or similar modalities)
Strong statistical foundations - experimental design, hypothesis testing, survival analysis, and clinical biostatistics

Bonus Points

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

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.

How to Apply

Submit your resume and a brief note on why this role and Nucs AI excite you.

Equal Opportunity

Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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