Data Science Postdoc, Ophthalmology Imaging @ Johnson & Johnson | Jobright.ai
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Johnson & Johnson · 1 day ago

Data Science Postdoc, Ophthalmology Imaging

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Comp. & Benefits

Insider Connection @Johnson & Johnson

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Conceive, develop, and implement image analysis solutions to high-priority scientific problems.
Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams.
Shape internal/external collaborations and define the scope of research questions.
Extract insight from multi-modal images to improve drug discovery and healthcare (e.g., disease identification, patient stratification, disease insights).
Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Computer VisionPythonC++Ophthalmic ImagingRetinal ImagingImage AnalysisOpenCVObject DetectionImage SegmentationImage ClassificationMachine Learning AlgorithmsRandom ForestSVMBoostingNeural NetworksTechnical CommunicationMultimodal AIDrug DiscoveryClinical DevelopmentHealthcare ProfessionalsDisease BiologyRetinaCancerImmunologyNeuroscienceCardiovascularInfectious DiseaseProblem-SolvingInterpersonal Communication

Required

A Ph.D. degree (earned by end of September) in a field related to quantitative analysis, such as physics, mathematics, artificial intelligence, computer science, bio-engineering, electrical engineering, or similar. Equivalent experience will also be considered.
Demonstrated experience driving research in and applying computer vision techniques (e.g., Transformers, CNNs, RNNs, GANs).
Proficiency with one or more programming languages such as Python or C++.
Experience with ophthalmic and retinal imaging.
Proven expertise in modern image analysis techniques (e.g., foundational models, transformers).
Extensive experience with traditional computer vision applications, such as OpenCV, object detection, image segmentation, image classification).
Experience with machine learning algorithms, including random forest, SVM, boosting, neural networks, etc.
Strong publication record and ability to effectively communicate technical work to a wide audience

Preferred

Experience with multimodal AI.
Familiarity with and exposure to drug discovery and clinical development processes.
Experience working closely with healthcare professionals.
Experience with meaningful disease biology in retina, cancer, immunology, neuroscience, cardiovascular, or infectious disease.

Company

Johnson & Johnson

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Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.

H1B Sponsorship

Johnson & Johnson 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
Trends of Total Sponsorships
2023 (43)
2022 (55)
2021 (40)
2020 (30)

Funding

Current Stage
Public Company
Total Funding
unknown
1978-01-13IPO· nyse:JNJ

Leadership Team

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Alex Gorsky
Chairman & CEO
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Dominic J. Caruso
Vice President, Finance and Chief Financial Officer
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Company data provided by crunchbase
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