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Senior Research Scientist – Reconstruction Physics

lifelancer·US·United States·senior
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Job Title: Senior Research Scientist – Reconstruction Physics Job Location: Remote Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job Description Summary MIM Software, a division of GE HealthCare, develops vendor-neutral imaging solutions used globally to enable more precise, personalized patient care. As a Senior Research Scientist, you will lead the development of next‑generation medical imaging algorithms within a collaborative, multidisciplinary R&D team. You will contribute across a portfolio of advanced imaging research topics, with particular emphasis on quantitative nuclear medicine and 3D reconstruction methods. This role is ideal for a scientist who combines strong theoretical foundations with practical implementation skills and is motivated to translate novel ideas into clinically impactful solutions. Job Description Roles and Responsibilities: Design, prototype, and evaluate novel algorithms for medical image reconstruction and analysis Lead independent research initiatives while collaborating with clinical, engineering, and product teams Apply physics-based modeling, numerical optimization, and statistical methods to complex imaging problems Develop high-quality, production-oriented code tovalidateand demonstrate research concepts Drive innovation beyond established methods and contributenew approachesto the field Communicate results clearly through internal presentations, technical documentation, and external publications Stay current with academic and industry advances and incorporate relevant techniques into research efforts Required Qualifications: Advanced degree (PhD preferred) and 3+ years in biomedical engineering, physics, computer science, applied mathematics, or related field Strong background in medical imaging algorithms, particularly in PET, SPECT, CT, or related modalities Experience with image reconstruction techniques Solid foundation in numerical methods, inverse problems, and statistical modeling Demonstra