Skills this job asks for
PythonC++Product managementDeep learningPyTorchTensorFlowCommunication
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 25 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Philips North America LLC paid sponsored hires in similar roles1 certified filing for “Senior Manager, Quality Analytics” (Operations Research Analysts) in WA: $131k–$131k, median $131k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 25 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Philips North America LLC paid sponsored hires in similar roles
- 1 certified filing for “Senior Manager, Quality Analytics” (Operations Research Analysts) in WA: $131k–$131k, median $131k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
Job Title
Research Scientist-Computed Tomography
Job Description
As an important member of the Computed Tomography (CT) Imaging Physics and Algorithm team, the Research Scientist will develop innovative physics-based solutions/corrections and support medical imaging platform needs by leading image quality improvements in CT by developing cutting edge Photon Counting systems.
Your role:
• Apply system-level engineering approach to develop CT/X-ray imaging features, focusing on signal and image processing, CT reconstruction, and calibration to optimize image quality. Leverages strong systems-level and scanner experience to ensure end-to-end performance across the imaging chain.
• Investigate and resolve image quality issues during product introduction and from the installed base, communicating findings clearly to stakeholders. Delivers safe, effective, and well-documented solutions based on rigorous data analysis.
• Develop and enhance R&D tools for physics-based simulation and image formation, including benchmarks, dataflow requirements, and Software Requirement Specifications. Works primarily in MATLAB, with increasing use of Python and optional C++ for performance-critical components.
• Maintain expertise in CT physics and advanced processing algorithms, with strong emphasis on photon-counting CT as a top priority. Brings additional knowledge in spectral, dual-energy, and multi-energy CT, as well as cone beam CT, enabling improved material differentiation and image quality optimization.
• Drive innovation by owning the CT imaging physics roadmap and aligning with business strategy across clinical, marketing, and systems teams. Stays current on emerging technologies such as AI/deep learning, contributes to IP and publications, and represents the organization in regulatory and industry engagements.
You're the right fit if:
• You have 2+ years of combined professional and graduate-level research experience in Physics/Medical Imaging (CT and/or X-ray preferred) as an individual contributor.
• You have a minimum of a Master's in Physics, Mathematics, Biomedical, Electrical, or Nuclear Engineering (or related field), with a background in the theory of medical image formation and reconstruction (preferred).
• You bring expertise in CT/X-ray imaging, signal and image processing, CT reconstruction, calibration, and systems-level/scanner understanding. Differentiating skills include experience with photon counting and/or spectral CT (dual-/multi-energy imaging), as well as cone beam CT, physics-based simulation, and hands-on prototype or scanner work.
• You are experienced in MATLAB (primary), Python (increasing use), and C++ (preferred), including GUI and C-MEX functionality, and familiarity with AI/deep learning frameworks (e.g., PyTorch, TensorFlow preferred).
• You have excellent written and verbal communication skills, with the ability to document and clearly explain complex algorithms, imaging chain trade-offs, and cross-functional impacts to non-specialists.
• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position . Travel up to 10% may be required.
How we work together:
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This is an office-based role.
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 acces
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