Senior Engineer, Artificial Intelligence / Microscopy Computer Vision

$105,000 - $169,050/Yr

Johnson & Johnson - Washington, DC

Full-time - Senior

Remote - Washington, DC

Chemical Manufacturing

About the position

The Senior Engineer, Artificial Intelligence / Microscopy Computer Vision role at Johnson & Johnson Innovative Medicine focuses on developing and implementing advanced AI and computer vision solutions to tackle significant scientific challenges in biomedical imaging. This position is integral to enhancing drug discovery and healthcare solutions through innovative technology and collaboration within the Data Science Analytics & Insights Team.

Responsibilities

• Design, develop, and implement cutting-edge AI and computer vision solutions for biomedical imaging challenges.
• Develop and optimize models to extract insights from complex biomedical image and video data.
• Contribute to scalable core technologies for deploying computer vision solutions across various imaging modalities.
• Create research and product roadmaps for computer vision applications in drug discovery and development.
• Deploy models using containerization technologies like Docker and Kubernetes for efficient production environments.
• Utilize high-performance computing resources to manage large-scale datasets and complex models.
• Communicate complex technical methods and results to diverse audiences to facilitate informed decision-making.
• Lead collaborations and engage with stakeholders to identify opportunities for AI-based solutions.

Requirements

• Ph.D. in a quantitative discipline or a Master's degree with a minimum of 4 years of relevant experience.
• Demonstrated experience in computer vision research and AI methods development.
• Experience with biomedical imaging data such as pathology and radiology is preferred.
• Proficiency in programming languages such as Python, R, C++, or Java.
• Experience with AI frameworks like PyTorch, TensorFlow, and OpenCV.
• Extensive experience with computer vision techniques including object detection, image segmentation, and classification.
• Experience with various machine learning techniques and architectures.
• Strong understanding of machine learning algorithms and optimization techniques.
• Proficiency in statistical analysis and data handling for large-scale image datasets.
• Experience with multi-GPU workloads for training and inference is preferred.

Nice-to-haves

• Experience with deploying models using Docker and Kubernetes.
• Familiarity with high-performance computing techniques.
• Experience working closely with healthcare professionals in drug discovery and clinical development processes.
• Knowledge of disease biology in areas such as cancer, immunology, or neuroscience.

Benefits

• Medical, dental, and vision insurance coverage.
• Life insurance and short- and long-term disability insurance.
• Business accident insurance and group legal insurance.
• 401(k) retirement plan and pension benefits.
• Vacation time up to 120 hours per year.
• Sick time up to 40 hours per year; up to 56 hours for Washington residents.
• Holiday pay including up to 13 days of floating holidays per year.
• Work, personal, and family time up to 40 hours per year.