Senior Scientist, Computer Vision

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

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Job Description:

Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health are recruiting for a SeniorScientist Computer Vision.

This role can be based in Madrid or Barcelona. Hybrid working.

J&J Innovative Medicine develops treatments that improve the health of people worldwide.

Research and development areas encompass oncology immunology neuroscience

cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer healthier

lives. We have produced and marketed many first-in-class prescription medications and are poised

to serve the broad needs of the healthcare market from patients to practitioners and from clinics

to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit

Responsibilities:

• Innovative Solution Development:Design develop and implementcutting-edgeAI 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 andoptimizestate-of-the-artmodels to extract actionable insights from complex unstructured biomedicalimageand video data. Applications include disease identification patient stratification and deriving novelbiologicalinsights.

• 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 tofacilitateinformed decision-making and drive project success.

• Proactively shape and lead internal and external collaborationsparticipatein cross-functional teamsand engage with key stakeholders toidentifyopportunities for developing and implementing AI-based solutions.

Required Qualifications:

• Ph.D. in a quantitative discipline (e.g. computer science artificial intelligence applied mathematics electrical engineering) with 0-2 years of post-graduate industry experience or aMastersdegree with a minimum of 4 years of relevant experience.

• Demonstrated experience in driving research in computer vision including the application and development of AI methods and optimization of machine learning models.

• Proficiencyin programming languages such as Python R C or Java and with AI frameworks includingPyTorchTensorFlow and OpenCV.

• Extensive experience with traditional and modern computer vision techniques including object detection (YOLO SSD Faster R-CNN) image segmentation (U-Net Mask R-CNN) image classification (VGGResNet InceptionEfficientNet) and feature extraction (SIFT SURF ORB).

• Experience with various machine learning techniques(including 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 random forests SVMs boosting and neural networks)along with optimization techniques.

• Proficiencyin statistical analysis and data handling including data augmentation data cleaning normalization and handling large-scale image datasets.

• Ability to effectively communicate complex technical concepts and results to a wide range of audiences including non-technical stakeholders.

• Highly motivated and capable of driving projects forward independently with minimal daily oversight.

• A deep passion forleveragingdata and AI to drive scientific innovation and improve healthcare outcomes.

Preferred Qualifications:

• At least 5 years of hands-on experience in technical data analysis and modeling across various roles with a focus on biomedical imaging data such as pathology radiology and endoscopy.

• Experience withdeploying models using containerization technologies such as Docker and Kubernetes.

• Experience with high-performance computing techniques and resources to manage and process large-scale datasets and complex models efficiently.

• Familiarity with drug discovery and clinical development processes and experience working closely with healthcare professionals.

• Experience with disease biology in areas such as cancer immunology neuroscience cardiovascular or infectious disease enabling the development of targeted AI solutions.

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The anticipated base pay range for this position is:

Benefits:

In addition to base pay we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location where the actual amount is based on the employees and companies performance of the previous calendar year or sales commissions. Moreover we offer vacation days parental leave for a minimum of 12 weeks bereavement leave caregiver leave volunteer leave well-being reimbursement programs for financial physical and mental health. We also offer service anniversary and recognition awards and subject to the terms of their respective plans employees - and in some locations eligible dependents - can participate in several insurance plans. For more information visit Employee benefits Supporting well-being & career growth Johnson & Johnson Careers.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.