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

Posted 2 Days Ago
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Hamburg, DEU
In-Office
75K-86K Annually
Entry level
Healthtech
The Role
Develop and validate AI-based CT image formation, reconstruction, denoising, and dose-reduction solutions. Apply deep learning, data science, Python, and C++ expertise to conventional, spectral, and photon-counting CT data. Collaborate with interdisciplinary teams, provide technical guidance, evaluate emerging methods, and transfer research into clinically meaningful imaging innovations.
Summary Generated by Built In
Job TitleResearch 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.

#LI-OFFICE

Skills Required

  • Master's degree in AI, data science, or informatics
  • Expertise in AI and data science
  • Experience with CNNs and statistical or machine-learning libraries such as NumPy or PyTorch
  • Programming experience in Python and C++
  • Experience with deep learning, including training convolutional neural networks
  • 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 for explaining complex technical concepts, influencing technical decisions, and collaborating in global interdisciplinary R&D environments
  • Proficiency in English
  • Experience in medical imaging and computed tomography
  • German language proficiency

Philips Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Philips and has not been reviewed or approved by Philips.

  • Retirement Support — Retirement support is positioned as a standout, including a strong 401(k) match (often described at 7%) alongside pensions in some contexts.
  • Flexible Benefits — Flexible benefits are emphasized through choice in health insurance options and a broad “Total Rewards” approach that combines compensation, health and wellness, and work-life support.
  • Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous paid time off and policies covering parental leave, caregiving responsibilities, volunteering, and family medical leave.

Philips Insights

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The Company
Bothell, Washington
Year Founded: 1891

What We Do

As a leading health technology company, it is our purpose to improve people’s health and well-being through meaningful innovation. Our goal is to improve 2.5 billion lives per year by 2030. ​ ​ We're always looking for ways to make life better – not only for our customers, but also for everyone working here. That's why we're taking steps to create an environment where we all acknowledge and embrace our differences and uniqueness and listen to and value each other's views. When people feel cared for and listened to, they bring their best qualities to work, leading to better collaboration, communication, innovation and success.

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