Johnson & Johnson, Senior Engineer, Artificial Intelligence / Computer Vision - Retina - Application via WayUp

This role is with Johnson & Johnson. WayUp is partnering with Johnson & Johnson to hire top talent.

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. Learn more at https://www.jnj.com

• Job Function: R&D Product Development
• Job Sub Function: R&D Machine Learning
• Job Category: Scientific/Technology
• All Job Posting Locations: Horsham, Pennsylvania, United States of America, New Brunswick, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
  
  

Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at [https://www.jnj.com/innovative-medicine](https://www.jnj.com/innovative-medicine) 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. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from any location to apply. 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. Key Responsibilities:

• Innovative Solution Development: Design, develop, and implement cutting-edge AI and computer vision solutions to address high-priority scientific challenges in biomedical imaging. Your work will directly contribute to advancements in drug discovery and healthcare.
• Develop and optimize state-of-the-art models to extract actionable insights from complex, unstructured biomedical image data, with a focus on retinal imaging modalities (e.g., OCT, FAF, color fundus). Applications include disease identification, patient stratification, and deriving novel biological insights.
• Develop research and product roadmaps for computer vision applications in drug discovery and development, ensuring alignment with organizational goals and scientific priorities, especially related to Retinal disease.
• Clearly articulate complex technical methods and results to diverse audiences, including scientists, stakeholders, and decision-makers, to facilitate informed decision-making and drive project success.
• Proactively shape and lead internal and external collaborations, participate in cross-functional teams, and engage with key stakeholders to identify opportunities for developing and implementing AI-based solutions.
• Contribute to the development of scalable core technologies that enable the deployment of advanced computer vision solutions across a variety of imaging modalities, including microscopy, radiology, retinal imaging, and video analysis.
• Develop and deploy models using containerization technologies such as Docker and Kubernetes to ensure scalable and efficient deployment in production environments.
• Utilize high-performance computing resources and techniques to manage and process large-scale datasets and complex models efficiently.
  
  

Qualifications

• Ph.D. in a quantitative discipline (e.g., computer science, artificial intelligence, applied mathematics, electrical engineering or related field) is required. Post-graduate experience is preferred.
  
  

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 is required.
• 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. Examples include object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB).
• Experience with various machine learning techniques is required. Examples include fully supervised, unsupervised, self-supervised, and weakly supervised learning and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and attention-based networks)
• Strong understanding and experience with machine learning algorithms (such as neural networks, random forests, SVMs, and boosting) 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.
• Experience with and an understanding of retinal diseases, treatment, and imaging technologies is strongly preferred.
• Ability to effectively communicate complex technical concepts and results to a wide range of audiences, including non-technical stakeholders 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.
• Familiarity with drug discovery and clinical development processes, and experience working closely with healthcare professionals is preferred.
• Experience with disease biology in areas such as ophthalmology, cancer, immunology, neuroscience, cardiovascular, or infectious disease, enabling the development of targeted AI solutions is a plus.
• Experience working with multi-GPU workloads for training and inference is preferred.
• Experience with deploying models using containerization technologies such as Docker and Kubernetes is preferred.
• Experience with high-performance computing techniques and resources to manage and process large-scale datasets and complex models efficiently is preferred. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
  
  

The anticipated base pay range for this position is $105,000 to $169,050. The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:

• Vacation – up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 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 For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits. For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com. \#JNJDataScience
  
  

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