Senior Engineer, Artificial Intelligence / Microscopy Computer Vision

$105,000 - $169,050/Yr

Johnson & Johnson - Columbus, OH

Full-time - Senior

Remote - Columbus, OH

Chemical Manufacturing

About the position

The Senior Engineer, Artificial Intelligence / Microscopy Computer Vision role at Johnson & Johnson Innovative Medicine focuses on developing innovative AI and computer vision solutions to tackle significant scientific challenges in biomedical imaging. This position is integral to advancing drug discovery and healthcare, utilizing cutting-edge technologies and methodologies to extract insights from complex biomedical data.

Responsibilities

• Design, develop, and implement AI and computer vision solutions for biomedical imaging challenges.
• Develop and optimize models to extract actionable insights from 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.
• Strong understanding of machine learning algorithms and optimization techniques.
• Proficiency in statistical analysis and data handling for large-scale image datasets.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• High motivation to drive projects independently and a passion for leveraging data to improve healthcare outcomes.

Nice-to-haves

• Experience with multi-GPU workloads for training and inference.
• Familiarity with drug discovery and clinical development processes.
• Experience with disease biology in areas such as cancer or immunology.

Benefits

• Medical, dental, and vision insurance coverage.
• Life insurance and short- and long-term disability insurance.
• 401(k) retirement plan with company contributions.
• Vacation time up to 120 hours per year.
• Sick time up to 40 hours per year.
• Holiday pay including floating holidays up to 13 days per year.