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Live In Medical Image Deep Learning Jobs in New York

Deep Learning Researcher

New York, NY · On-site

$200K - $300K/yr

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... track record of building sophisticated predictive models using deep learning * Publications in ...

PhD degree in computer science or a related field * Mastery of deep learning techniques and proven ... track record of building sophisticated predictive models using deep learning * Publications in ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Background in machine learning, medical imaging and optimization methods, ideally with demonstrated experience in deep learning in medical image analysis (image segmentation/registration/synthesis ...

Senior Deep Learning Engineer

Manhattan, NY · On-site

$175K - $215K/yr

... in improving the communities where our employees, customers, and audiences live and work. We have a ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

... in improving the communities where our employees, customers, and audiences live and work. We have a ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

Senior Deep Learning Engineer

Manhattan, NY · On-site

$175K - $215K/yr

... in improving the communities where our employees, customers, and audiences live and work. We have a ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

Senior Deep Learning Engineer

Manhattan, NY · On-site

$175K - $215K/yr

... in improving the communities where our employees, customers, and audiences live and work. We have a ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

... in improving the communities where our employees, customers, and audiences live and work. We have a ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

... in improving the communities where our employees, customers, and audiences live and work. We have a ... This position is eligible for company sponsored benefits, including medical, dental and vision ...

We offer free training courses through our online learning platform and offer opportunities for ... Live In Caregiver ID:11898 Please note that this is the job board for the franchise office located ...

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Live In Medical Image Deep Learning information

Is ML a high paying job?

A career in machine learning, including roles like live-in medical image deep learning specialists, generally offers high salaries due to the specialized skills and demand for expertise in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles are typically well-compensated compared to many other tech positions.

What is the difference between Live In Medical Image Deep Learning vs Medical Imaging Specialist?

AspectLive In Medical Image Deep LearningMedical Imaging Specialist
CredentialsTypically requires a degree in computer science, AI, or related fields; certifications in deep learning or medical imaging are commonRequires degrees in radiology, medical imaging technology, or related healthcare fields; certifications in imaging modalities are often needed
Work EnvironmentPrimarily research labs, AI development teams, or healthcare tech companies; involves programming and data analysisHospitals, clinics, diagnostic centers; involves operating imaging equipment and patient interaction
Industry UsageUsed in developing AI algorithms for medical image analysis, diagnostics, and researchUsed in performing and interpreting medical imaging procedures for patient diagnosis

Live In Medical Image Deep Learning focuses on developing AI models for analyzing medical images, requiring programming and data science skills. In contrast, Medical Imaging Specialists perform imaging procedures and interpret results in clinical settings. Both roles are essential in healthcare but differ in their focus and daily tasks.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions often involve developing algorithms for image analysis, natural language processing, and predictive modeling, frequently requiring programming skills in Python and frameworks like TensorFlow or PyTorch.

What are the applications of deep learning in medical imaging?

In the role of a Live In Medical Image Deep Learning specialist, deep learning is applied to automate and improve the accuracy of medical image analysis, including tasks such as tumor detection, segmentation, and disease classification. These applications enhance diagnostic efficiency and support clinical decision-making using tools like convolutional neural networks (CNNs) and large datasets for training models. Skills in image processing, programming, and understanding of medical imaging modalities are essential for this work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often in specialized fields like medical image deep learning. These roles usually require advanced skills in deep learning frameworks, extensive experience, and may involve leadership responsibilities or cutting-edge research. Compensation at this level reflects significant expertise and impact within the organization.
What cities in New York are hiring for Live In Medical Image Deep Learning jobs? Cities in New York with the most Live In Medical Image Deep Learning job openings:

Principal Data Scientist, Medical Imaging

Formation Bio

New York, NY

$204K - $267K/yr

Other

Re-posted 11 days ago


Job description

About the Position

As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

  • Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
  • Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
  • Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
  • Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
  • Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
  • Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
  • Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

  • PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
  • 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
  • Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
  • Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
  • Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
  • Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
  • Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

  • Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
  • Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
  • Knowledge of clinical trial design and experience with imaging core lab operations
  • Experience with federated learning or privacy-preserving techniques for medical imaging
  • Understanding of radiomics and quantitative imaging biomarker development
  • Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $204,500 - $267,000