Senior Engineer, Artificial Intelligence / Microscopy Computer Vision

$105,000 - $169,050/Yr

Johnson & Johnson - Olympia, WA

Full-time - Mid Level

Remote - Olympia, WA

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 part of the Data Science Analytics & Insights Team and aims to enhance drug discovery and healthcare through advanced technology. The role requires collaboration with cross-functional teams and stakeholders to drive project success and innovation in healthcare solutions.

Responsibilities

• Design, develop, and implement AI and computer vision solutions for biomedical imaging challenges.
• Develop and optimize models to extract 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.
• Deploy models using containerization technologies like Docker and Kubernetes.
• Utilize high-performance computing resources for managing large-scale datasets.
• Communicate complex technical methods and results to diverse audiences.
• Lead collaborations and engage with stakeholders to identify AI solution opportunities.

Requirements

• Ph.D. in a quantitative discipline or a Master's degree with a minimum of 4 years of relevant experience.
• Experience in computer vision research and AI methods development.
• 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 such as object detection and image segmentation.
• 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 concepts to non-technical stakeholders.
• High motivation to drive projects independently.

Nice-to-haves

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

Benefits

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