Job Responsibilities:
- Collaborate with radiation oncologists, radiologists, medical physicists, and clinical researchers to design and conduct clinical application research, follow up research progress, and contribute to publications and academic achievements.
- Support clinical study setup, execution, and follow-up, identify emerging clinical needs and research opportunities, optimize imaging protocols and workflows, and translate clinical insights into research and application solutions.
- Develop and apply medical image analysis and AI-based solutions, preferably using Python and/or Matlab, and collaborate with clinical partners to validate applications and generate research outputs.
- Work with internal R&D, product, and technical teams to define clinical use cases and application requirements, provide clinical feedback, and support product and proposition development.
- Provide scientific consultation and pre-sales support , including customer discussions, research needs assessment, product demonstrations, seminars, conferences, and other customer-facing activities.
- Regularly visit Clinical Science sites, hospitals, and research institutions to discuss innovations, support research implementation, resolve technical issues, and build strong relationships with KOLs and clinical partners.
- Monitor clinical needs, customer feedback, competitive technologies, and emerging trends, and provide insights to support product development, commercial strategy, and clinical applications.
- Support the development of research reports, presentations, publications, white papers, and commercial/technical materials.
Minimum required Education:
Bachelor’s degree or above in Radiation Oncology, Radiology, Medical Imaging, Medical Physics, Biomedical Engineering, Clinical Science, Computer Science, or a related field.
Minimum required Experience:
- Minimum 2 years of relevant experience in radio-oncology, radiation oncology, radiology, medical imaging, or clinical research.
- Experience collaborating with clinicians, medical physicists, or clinical research partners.
- Experience with medical image analysis, data processing, or clinical research applications.
- Hands-on experience with Python and/or Matlab; C++ is an advantage.
- Good understanding of clinical imaging workflows, imaging protocols, and hospital-based research.
- Strong communication, presentation, coordination, and Chinese/English writing skills.
- Self-motivated, proactive, and willing to travel frequently.
Preferred Education:
PhD, MD, or equivalent advanced degree in a relevant field.
Preferred Experience:
- Solid experience in radio-oncology/radiation oncology clinical research and academic collaboration.
- Experience in clinical study design, data analysis, and scientific publication.
- Experience with deep learning, machine learning, radiomics, quantitative imaging, segmentation, registration, or other AI/data-driven image analysis.
- Experience with medical imaging devices, radiation oncology workflows, IGRT, treatment planning, or oncology applications.
- Experience supporting product demonstrations, customer training, scientific seminars, conferences, or pre-sales activities.
- Strong academic publication record and ability to translate clinical needs and feedback into research concepts, application improvements, and product opportunities.
Skills Required
- Bachelor's degree or above in Radiation Oncology, Radiology, Medical Imaging, Medical Physics, Biomedical Engineering, Clinical Science, Computer Science, or a related field
- At least 2 years of relevant experience in radio-oncology, radiation oncology, radiology, medical imaging, or clinical research
- Experience collaborating with clinicians, medical physicists, or clinical research partners
- Experience with medical image analysis, data processing, or clinical research applications
- Hands-on experience with Python and/or MATLAB
- Good understanding of clinical imaging workflows, imaging protocols, and hospital-based research
- Strong communication, presentation, and coordination skills
- Chinese and English writing skills
- Willingness to travel frequently
- PhD, MD, or equivalent advanced degree in a relevant field
- Solid experience in radio-oncology or radiation oncology clinical research and academic collaboration
- Experience in clinical study design, data analysis, and scientific publication
- Experience with deep learning, machine learning, radiomics, quantitative imaging, segmentation, registration, or other AI/data-driven image analysis
- Experience with medical imaging devices, radiation oncology workflows, IGRT, treatment planning, or oncology applications
- Experience supporting product demonstrations, customer training, scientific seminars, conferences, or pre-sales activities
- Strong academic publication record and ability to translate clinical needs into research concepts, application improvements, and product opportunities
- C++ experience
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.
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Retirement Support — Retirement support is positioned as a standout, including a strong 401(k) match (often described at 7%) alongside pensions in some contexts.
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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.
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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
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.








