20 beste Stellen als data science life science in hamburg – aktuell auf Personalsuche

Research Scientist – AI in Computed Tomography Image Formation (all genders)
Philips —Hamburg
- 75.336,00 € – 85.744,64 € pro Jahr
- Vollzeit
- Master
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Research Scientist – Physics of Computed Tomography (all genders)
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- 75.336,00 € – 85.744,64 € pro Jahr
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initworks GmbH —Hamburg
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Post doc (all genders) in liver immunity - section Regenerative Medicine and Immunology
UKE - Universitätsklinikum Hamburg-Eppendorf —Hamburg
- 63.600 € – 91.100 € pro Jahr
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Data Engineer Wind Energy (m/f/d)
Nordex SE —Hamburg
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Postdoc (all genders) in intestinal immunity / section Regenerative Medicine and Immunology
UKE - Universitätsklinikum Hamburg-Eppendorf —Hamburg
- 63.600 € – 91.100 € pro Jahr
- Teilzeit
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Trainee SAP Business Intelligence (SAP BI) Consultant (m/w/d)
cbs Corporate Business Solutions GmbH —Hamburg
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IQVIA —Hamburg
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Adobe —Hamburg
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Eraneos Group AG —Hamburg
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Trainee SAP Master Data Management (MDM) Consultant (m/w/d)
cbs Corporate Business Solutions GmbH —Hamburg
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Founding Account Executive - Europe (m/f/d)
Life Science Nord Management GmbH —Hamburg
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Universal Quantum —Hamburg
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Senior Security Assurance Solutions Architect, AWS Security Assurance Services
AWS EMEA SARL (Germany Branch) —Hamburg
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Senior Consultant SAP Data Transformation & Migration (m/w/d)
cbs Corporate Business Solutions GmbH —Hamburg
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cbs Corporate Business Solutions GmbH —Hamburg
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Founding Account Executive - Europe (m/f/d)
SmartStep Consulting GmbH —Hamburg
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Affiliate & Partnerships Manager (f/m/d)
Clariness —Hamburg
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Senior Tech TA Manager (f/m/d)
applike group —Hamburg
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data science life science jobs near hamburg

Research Scientist – AI in Computed Tomography Image Formation (all genders)

Philips -
Hamburg

Jetzt bewerben

Details zur Stelle

Vollzeit
75.336,00 € – 85.744,64 € pro Jahr
vor 12 Tagen

Qualifikationen

Master
Medizinische Bildverarbeitung
Data Science

Vollständige Stellenbeschreibung

Job Title

Research Scientist – AI in Computed Tomography Image Formation (all genders)

Job Description

In this role, you will work in the field of AI for CT image formation, reconstruction and denoising.

You will contribute to AI-based clinical solutions focused on CT image quality, dose utilization, noise reduction and image reconstruction to increase diagnostic confidence and enable new clinical insights.

Your role:

Develop, implement and validate innovative AI-based CT image formation solutions, including reconstruction and denoising of conventional, spectral and photon-counting CT data.
Apply your know-how in AI and data science, especially deep learning, to CT image formation, high spatial and temporal resolution reconstruction, image denoising and dose reduction techniques.
Contribute to the evaluation and implementation of new technologies and methods within defined project roadmaps.
Collaborate with interdisciplinary teams as subject matter expert and provide technical guidance to transfer results into clinically meaningful innovation.

You should bring the following:

Master degree in AI, data science or informatics.
Expertise in AI and data science, CNNs, statistical and machine-learning libraries such as NumPy or PyTorch, data analytics and AI tools or agents for analysis and prototyping.
Programming experience, especially Python and C++.
Experience with deep learning, for example training convolutional neural networks, preferably in medical imaging and computed tomography.
Clinical understanding of medical imaging, predominantly CT.
Ability to provide technical consultation and subject-matter expertise to cross-functional teams and stakeholders.
Excellent communication skills, including the ability to explain complex technical concepts, influence technical decisions and collaborate in global interdisciplinary R&D environments.
Proficiency in English; German would be a plus.

Doing meaningful work should come with fair, transparent rewards. The base salary range for this role is €75.336,00 – €85.744,64 and is governed by the applicable Collective Labour Agreement. The stated salary range reflects the salary progression within the relevant pay grade under the Collective Labour Agreement. New employees are generally hired at the entry level of the respective pay grade.

Benefits include:

Annual leave: 30 days
Mobility and devices: subsidized Germany ticket, leasing opportunities for private use (bicycles, cars, smartphones, ...)
Philips University & Philips in Balance: wide range of professional training courses for personal development and healthcare
Philips Pension Fund: employer-funded pension plan
Philips Partnerzeit: two paid weeks off after your partner has given birth
Philips MyShop: discount on Philips products
Meals: free drinks and low prices in our canteen and Café Philistro
Culture: informal culture, a paid day for voluntary work, various team and cultural activities, etc.

How We Work Together

We believe that we achieve better results when we work together rather than apart. For this role this means to be on-site at least 3 days a week.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. With patient safety and Quality as our fundamental premise, we focus on regulatory requirements and quality standards in our daily work. Do the work of your life to help the lives of others.

Learn more about our business .
Discover our rich and exciting history .
Learn more about our purpose .

If you are interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion on our careers site.

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