Senior Engineer, Artificial Intelligence / Computer Vision - Retina

About the position

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Johnson & Johnson Innovative Medicine (JJIM) is recruiting for the role of Senior Engineer, Artificial Intelligence / Computer Vision - Retina within our Data Science Analytics & Insights Team. This is a remote role available in all 50 states within the United States of America. The Data Science and Digital Health organization within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas. We are looking for an outstanding Scientist to join our Computer Vision team.

Responsibilities

• Design, develop, and implement cutting-edge AI and computer vision solutions to address high-priority scientific challenges in biomedical imaging.
• Develop and optimize state-of-the-art models to extract actionable insights from complex, unstructured biomedical image data, focusing on retinal imaging modalities.
• Develop research and product roadmaps for computer vision applications in drug discovery and development.
• Clearly articulate complex technical methods and results to diverse audiences, including scientists, stakeholders, and decision-makers.
• Proactively shape and lead internal and external collaborations, participate in cross-functional teams, and engage with key stakeholders.
• Contribute to the development of scalable core technologies that enable the deployment of advanced computer vision solutions.
• Develop and deploy models using containerization technologies such as Docker and Kubernetes.
• Utilize high-performance computing resources and techniques to manage and process large-scale datasets and complex models efficiently.

Requirements

• Ph.D. in a quantitative discipline (e.g., computer science, artificial intelligence, applied mathematics, electrical engineering or related field) is required.
• Or Master's degree with a minimum of 4 years of relevant professional experience is required.
• Demonstrated experience in driving research in computer vision, including the application and development of AI methods and optimization of machine learning models.
• Experience with biomedical imaging data, especially retinal imaging is strongly preferred.
• Proficiency in programming languages such as Python, R, C++, or Java is required.
• Experience with AI frameworks such as PyTorch, and OpenCV is required.
• Extensive experience with traditional and modern computer vision techniques is required.
• Experience with various machine learning techniques is required.
• Strong understanding and experience with machine learning algorithms along with optimization techniques is required.
• Proficiency in statistical analysis and data handling, including data augmentation, data cleaning, normalization, and handling large-scale image datasets is required.
• Ability to effectively communicate complex technical concepts and results to a wide range of audiences is required.
• High motivation and capability to drive projects forward independently with minimal daily oversight is required.
• A deep passion for leveraging data and AI to drive scientific innovation and improve healthcare outcomes is required.

Nice-to-haves

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

Benefits

• Medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• 401(k) retirement plan.
• Vacation - up to 120 hours per calendar year.
• Sick time - up to 40 hours per calendar year.
• Holiday pay, including Floating Holidays - up to 13 days per calendar year.
• Work, Personal and Family Time - up to 40 hours per calendar year.