About this Senior Scientist – AI in Computed Tomography Image Formation (all genders) role at Philips
Job Title
Senior Scientist – AI in Computed Tomography Image Formation (all genders)Job Description
In this role, you will work as a top expert in applying artificial intelligence to CT image formation, reconstruction and denoising.
You will create 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 expertise in AI and data science, especially deep learning, to 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 translate results into clinically meaningful innovation.
You should bring the following:
PhD in AI, data science or informatics, or equivalent outstanding expertise and relevant experience.
Several years of relevant work experience.
Extensive expertise in AI and data science, CNNs, statistical and machine-learning libraries such as NumPy or PyTorch, data analytics and AI tools/agents for analysis and prototyping.
Strong programming skills, 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 guidance, shape technical direction and influence technology and product decisions in global development programs.
Excellent communication and stakeholder management skills in international and interdisciplinary environments. English proficiency required, German is a plus.
Doing meaningful work should come with fair, transparent rewards. The base salary range for this role is €118.606,00 – €121.210,00. We determine pay within the range using objective factors, like the skills the role requires, your relevant experience and the responsibility you will have in this role, alongside internal equity and local market considerations.
This role is eligible for Short Term Incentive, with your rewards linked to individual performance and company results. We will share the full approach with you during the interview process, so you can make a clear, informed decision.
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
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 will not 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.
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.
#LI-OFFICE
