Postdoctoral Data Analytics Computational Sciences
J&J FAMILY OF COMPANIES
Barcelona, Spain
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Ph.d. in deep learning or related field
Extensive computer vision experience
Strong python and pytorch proficiency
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Johnson & Johnson is seeking a postdoctoral researcher in Data Analytics and Computational Sciences to join their Computer Vision team in Barcelona, focusing on advanced AI/ML applications for microscopic images in histopathology. The ideal candidate should have a strong background in computer vision, deep learning, and medical image analysis, with an emphasis on collaboration and innovation in a cross-functional team environment.
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Job Summary
The Computer Vision team is seeking a postdoctoral researcher to apply advanced AI and deep learning methods to clinical and preclinical histopathology images.
This role involves conceiving and validating innovative computer vision solutions to improve drug discovery, patient stratification, and clinical trial efficiency.
Candidates will collaborate with scientists, engineers, and clinicians to develop robust algorithms while contributing to scientific manuscripts and global health initiatives.
Matching Summary
Match Score: 75
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Johnson & Johnson is seeking a postdoctoral researcher in Data Analytics and Computational Sciences to join their Computer Vision team in Barcelona, focusing on advanced AI/ML applications for microscopic images in histopathology. The ideal candidate should have a strong background in computer vision, deep learning, and medical image analysis, with an emphasis on collaboration and innovation in a cross-functional team environment.
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Skills & Requirements
Must-have
Ph.D. in deep learning or related field
Extensive computer vision experience
Strong Python and PyTorch proficiency
Experience with microscopy image analysis
Deep knowledge of CNNs, Transformers, GANs
Nice-to-have
Publications in CVPR, MICCAI, or ICML
Familiarity with drug discovery processes
Experience with multimodal AI techniques
Background in oncology or immunology biology
Ability to work in cross-functional teams
Key Requirements
Ph.D. completed within 2-3 years or candidate with defense date