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 jnj.com.
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**Job Function: **
R&D Product Development
**Job Sub Function: **
R&D Machine Learning
Job Category:
Scientific/Technology
All Job Posting Locations:
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain
Job Description:
Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health are recruiting for a **Senior Scientist, 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
https://innovativemedicine.jnj.com/
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.
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 a Master’s degree 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.
Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, TensorFlow, 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 (VGG, ResNet, Inception, EfficientNet), 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.
Proficiency in 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 for leveraging data 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 with deploying 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.
#LI-GR
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**Required Skills: **
Preferred Skills:
Artificial Intelligence (AI), Cognitive Computing, Continuous Improvement, Curious Mindset, Data Structures, Developing Others, Human-Computer Interaction (HCI), Human-Computer Relationships, Inclusive Leadership, Leadership, Leverages Information, Machine Learning (ML), Market Opportunity Assessment, Presentation Design, Process Improvements, Program Management, Research and Development, SAP Product Lifecycle Management, Scripting Languages
The anticipated base pay range for this position is:
€55,400.00 - €87,860.00
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 location’s 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.