Johnson & Johnson · 4 hours ago
Senior Engineer, Artificial Intelligence / Microscopy Computer Vision
USA
Full-time
Remote
Mid, Senior Level
$105K/yr - $169K/yr
4+ years exp
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Responsibilities
Innovative Solution Development: Design, develop, and implement cutting-edge AI and computer vision solutions to address high-priority scientific challenges in biomedical imaging. Your work will directly contribute to advancements in drug discovery and healthcare.
Develop and optimize state-of-the-art models to extract actionable insights from complex, unstructured biomedical image and video data. Applications include disease identification, patient stratification, and deriving novel biological insights.
Contribute to the development of scalable core technologies that enable the deployment of advanced computer vision solutions across a variety of imaging modalities, including microscopy, radiology, and video analysis.
Develop research and product roadmaps for computer vision applications in drug discovery and development, ensuring alignment with organizational goals and scientific priorities.
Develop and deploy models using containerization technologies such as Docker and Kubernetes to ensure scalable and efficient deployment in production environments.
Utilize high-performance computing resources and techniques to manage and process large-scale datasets and complex models efficiently.
Clearly articulate complex technical methods and results to diverse audiences, including scientists, stakeholders, and decision-makers, to facilitate informed decision-making and drive project success.
Proactively shape and lead internal and external collaborations, participate in cross-functional teams, and engage with key stakeholders to identify opportunities for developing and implementing AI-based solutions.
Qualification
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Required
Ph.D. in a quantitative discipline (e.g., computer science, artificial intelligence, applied mathematics, electrical engineering or related field) is required. Post-graduate experience is preferred.
Or Master’s degree with a minimum of 4 years of relevant professional experience is required.
Demonstrated experience in driving research in computer vision, including the application and development of AI methods and optimization of machine learning models is required.
Proficiency in programming languages such as Python, R, C++, or Java is required.
Experience with AI frameworks such as PyTorch, TensorFlow, and OpenCV is required.
Extensive experience with traditional and modern computer vision techniques is required. Examples include object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB).
Experience with various machine learning techniques is required. Examples include fully supervised, unsupervised, self-supervised, and weakly supervised learning and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and attention-based networks).
Strong understanding and experience with machine learning algorithms (such as neural networks, random forests, SVMs, and boosting) along with optimization techniques is required.
Proficiency in statistical analysis and data handling, including data augmentation, data cleaning, normalization, and handling large-scale image datasets is required.
Ability to effectively communicate complex technical concepts and results to a wide range of audiences, including non-technical stakeholders is required.
High motivation and capability to drive projects forward independently with minimal daily oversight is required.
A deep passion for leveraging data and AI to drive scientific innovation and improve healthcare outcomes is required.
Preferred
Post-graduate experience is preferred.
Experience with biomedical imaging data such as pathology, radiology, and endoscopy is strongly preferred.
Experience working with multi-GPU workloads for training and inference is preferred.
Experience with deploying models using containerization technologies such as Docker and Kubernetes is preferred.
Experience with high-performance computing techniques and resources to manage and process large-scale datasets and complex models efficiently is preferred.
Familiarity with drug discovery and clinical development processes, and experience working closely with healthcare professionals is preferred.
Experience with disease biology in areas such as cancer, immunology, neuroscience, cardiovascular, or infectious disease, enabling the development of targeted AI solutions is a plus.
Benefits
Medical
Dental
Vision
Life insurance
Short- and long-term disability
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Company
Johnson & Johnson
Johnson & Johnson develops medical devices, pharmaceuticals, and consumer packaged goods.
10,001+ employees
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
Represents job field similar to this job
Trends of Total Sponsorships
2023 (43)
2022 (55)
2021 (40)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
unknown1944-09-24IPO· nyse:JNJ
Leadership Team
Alex Gorsky
Chairman & CEO
Joaquin Duato
Chairman of the Board & CEO
Recent News
vcnewsdaily.com
2024-11-13
2024-11-13
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