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
M © 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.
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 containerisation technologies such as Docker and Kubernetes to ensure scalable and efficient deployment in production environments.
* Utilise 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 optimisation 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, Vision Transformers, Recurrent Neural Networks, Generative Adversarial Networks, and attention‑based networks).
* Strong understanding and experience with machine learning algorithms (such as random forests, SVMs, boosting, and neural networks) along with optimisation techniques.
* Proficiency in statistical analysis and data handling, including data augmentation, data cleaning, normalisation, 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 modelling across various roles, with a focus on biomedical imaging data such as pathology, radiology, and endoscopy.
* Experience with deploying models using containerisation 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.
Required 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
Preferred Skills
* --- (no distinct preferred skills were listed beyond those in the required skills section) ---
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 a set target (percentage of pay) depending on pay grade/location, where the actual amount is based on the employees’ and company’s performance of the previous calendar year or sales commissions. We also offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well‑being reimbursement, and 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. This information is for informative purposes only; amounts and actual benefits may vary by location and are subject to change.
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