SENIOR ENGINEER, ARTIFICIAL INTELLIGENCE / COMPUTER VISION

Johnson & Johnson Innovative Medicine (JJIM) is recruiting for the role of Senior Engineer, Artificial Intelligence / Computer Vision within our Data Science Analytics & Insights Team.
This position may be fully remote within the US.
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.
nj.
om/.
For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day.
Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world.
Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges.
We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve.
Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential.
At Johnson & Johnson, we all belong.
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 and video data.
Applications include disease identification, patient stratification, and deriving novel biological insights.
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, and video analysis.
Develop research and product roadmaps for computer vision applications in drug discovery and development, ensuring alignment with organizational goals and scientific priorities.
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.
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.
Qualifications Ph.
.
in a quantitative discipline (e.
., 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 such as pathology, radiology, and endoscopy is strongly preferred.
Proficiency in programming languages such as Python, R, C++, or Java is required.
Experience with AI frameworks such as PyTorch, TensorFlow, 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 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.
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 cancer, immunology, neuroscience, cardiovascular, or infectious disease, enabling the development of targeted AI solutions is a plus.
Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.
The anticipated base pay range for this position is $ to $.
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.
areers.
nj.
om/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.
areers.
nj.
om.
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