Senior Engineer, Artificial Intelligence / Microscopy Computer Vision

$105,000 - $169,050/Yr

Johnson & Johnson - Bismarck, ND

Full-time - Mid Level

Remote - Bismarck, ND

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 may be fully remote within the US. The role involves designing and implementing advanced models to extract insights from biomedical data, contributing to drug discovery and healthcare advancements.

Responsibilities

• Design, develop, and implement 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.
• Utilize high-performance computing resources for managing large-scale datasets and complex models.
• Communicate complex technical methods and results to diverse audiences.
• 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.
• 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 and image segmentation.
• 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.
• Ability to communicate complex technical concepts effectively.

Nice-to-haves

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

Benefits

• Medical, dental, and vision insurance
• Life insurance
• Short- and long-term disability insurance
• Business accident insurance
• Group legal insurance
• 401(k) retirement plan
• Vacation up to 120 hours per year
• Sick time up to 40 hours per year
• Holiday pay up to 13 days per year
• Work, personal, and family time up to 40 hours per year