Imaging Scientist – Medical Device (Bedford, MA)

Philips • Bedford, MA

9h • $99,000 - $158,000 • Onsite

About The Position

Imaging Scientist – Medical Device (Bedford, MA)
The Imaging Scientist engages in exploratory algorithm research, experimental design, and quantitative analysis to push the boundaries of applied medical imaging. Working with a multidisciplinary team, this position emphasizes scientific curiosity, creative problem solving, and technical rigor. Candidates will participate in all stages of imaging science projects, from concept through data curation, prototyping, and performance assessment, contributing to both internal knowledge and public scientific communication.
Your role:
Collaborate with researchers and clinicians to define open scientific questions and guide hypothesis‑driven imaging research. Support cross-functional discussions and present findings in team or scientific forums.
Design and prototype imaging algorithms using Python/C/C++, while developing and evaluating models through deep learning or classical image analysis methods. Quantify and interpret model performance using rigorous statistical and validation metrics.
Collect, curate, and annotate medical imaging datasets to enable high‑quality experimentation and validation. Ensure data integrity and support reproducible research workflows.
Document research methods, assumptions, code, and validation strategies for transparency and reproducibility. Prepare manuscripts, posters, reports, or proposals for academic, internal, or grant-related communication.
Maintain awareness of emerging modeling and computing techniques, seeking mentorship and collaboration within diverse teams. Support regulatory and quality requirements for research‑grade tools and findings.
You're the right fit if:
You have advanced expertise supporting an individual contributor role, bringing deep experience in biomedical engineering, imaging science, and scientific software development. You consistently apply strong analytical and research capabilities to solve complex technical problems.
You possess proficiency in Python/C/C++, algorithm development, image processing, quantitative analysis, and multidimensional medical dataset interpretation. Bonus skills include GPU/CUDA programming, parallel computing, advanced modeling techniques, and familiarity with regulatory and privacy standards for medical devices.
You hold a Ph.D. in biomedical engineering, medical physics, computer science, physical sciences, or a closely related field. Your background reflects strong training in experimental design, scientific research methods, and machine learning concepts.
You demonstrate excellent written and verbal communication, a results‑oriented mindset, and strong critical‑thinking and problem‑solving abilities. You thrive in collaborative, research‑driven environments and show a clear commitment to ongoing learning and professional development.
You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

Requirements

• You have advanced expertise supporting an individual contributor role, bringing deep experience in biomedical engineering, imaging science, and scientific software development. You consistently apply strong analytical and research capabilities to solve complex technical problems.
• You possess proficiency in Python/C/C++, algorithm development, image processing, quantitative analysis, and multidimensional medical dataset interpretation.
• You hold a Ph.D. in biomedical engineering, medical physics, computer science, physical sciences, or a closely related field. Your background reflects strong training in experimental design, scientific research methods, and machine learning concepts.
• You demonstrate excellent written and verbal communication, a results‑oriented mindset, and strong critical‑thinking and problem‑solving abilities. You thrive in collaborative, research‑driven environments and show a clear commitment to ongoing learning and professional development.

Nice To Haves

• Bonus skills include GPU/CUDA programming, parallel computing, advanced modeling techniques, and familiarity with regulatory and privacy standards for medical devices.

Responsibilities

• Collaborate with researchers and clinicians to define open scientific questions and guide hypothesis‑driven imaging research. Support cross-functional discussions and present findings in team or scientific forums.
• Design and prototype imaging algorithms using Python/C/C++, while developing and evaluating models through deep learning or classical image analysis methods. Quantify and interpret model performance using rigorous statistical and validation metrics.
• Collect, curate, and annotate medical imaging datasets to enable high‑quality experimentation and validation. Ensure data integrity and support reproducible research workflows.
• Document research methods, assumptions, code, and validation strategies for transparency and reproducibility. Prepare manuscripts, posters, reports, or proposals for academic, internal, or grant-related communication.
• Maintain awareness of emerging modeling and computing techniques, seeking mentorship and collaboration within diverse teams. Support regulatory and quality requirements for research‑grade tools and findings.

Benefits

• Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree