Senior Engineer, Artificial Intelligence / Microscopy Computer Vision

$105,000 - $169,050/Yr

Johnson & Johnson - Little Rock, AR

Full-time - Senior

Remote - Little Rock, AR

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 innovations, leveraging diverse data sources to drive impactful 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 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 knowledge of computer vision techniques including 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 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.