Multi-Modality AI Post-Doctoral Researcher jobs in United States
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Axle · 10 hours ago

Multi-Modality AI Post-Doctoral Researcher

Axle is a startup research laboratory within the CAMAI Center of NovaGen Research focusing on medical imaging AI research. They are seeking a highly skilled and motivated Post-Doctoral Researcher to lead the development and implementation of multi-modality solutions tailored for medical data, including imaging and EHR.

BiotechnologyHealth CareInformation TechnologySoftware
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H1B Sponsor Likelynote

Responsibilities

Develop and implement deep learning models for multi-modal medical data fusion using Python and PyTorch
Design and execute experiments to evaluate the performance of developed models
Preprocess and analyze large-scale medical imaging and other multi-modal datasets
Implement and evaluate various multi-modal fusion strategies (e.g., early, late, and hybrid fusion)
Develop and apply model explainability methods to understand the contributions of different modalities
Collaborate with clinicians, medical experts, and other researchers to define research goals and translate findings into clinical applications
Contribute to the development of software tools and libraries for multi-modal AI
Prepare and present research findings at conferences and in peer-reviewed publications
Maintain accurate and detailed records of experiments and results

Qualification

PythonPyTorchDeep learningMulti-modality AIMedical imagingData preprocessingProblem-solvingCommunicationCollaborationTeamwork

Required

Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field with a strong focus on machine learning and medical imaging
Proficiency in Python and deep learning frameworks, particularly PyTorch
Proven track record in multi-modality medical AI
Strong background in deep learning, machine learning, and image processing
Experience with medical imaging data (e.g., MRI, CT, PET) and other medical data modalities including OCT, OCTA, fundus photos
Experience with data preprocessing, feature extraction, and model evaluation
Excellent programming and problem-solving skills
Strong communication and collaboration skills
Ability to work independently and as part of a team
A strong publication record in relevant areas is highly desirable

Preferred

Experience with model explainability and interpretability techniques
Experience with clinical validation studies
Experience with large-scale medical datasets
Experience with version control systems (e.g., Git)
A desire to learn new ideas, new systems, for example multi-agent AI systems

Company

Axle

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At Axle, we are driven by the mission to accelerate discovery and enhance organizational outcomes by revolutionizing operations with our innovative solutions.

H1B Sponsorship

Axle has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (37)
2024 (40)
2023 (61)
2022 (30)
2021 (19)
2020 (38)

Funding

Current Stage
Late Stage

Leadership Team

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Gary Mays
Chief Operating Officer
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Company data provided by crunchbase