Postdoctoral Researcher Video team in London

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.

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.

Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting a postdoctoral researcher to join the Video Understanding team. Positions are available in the US or Europe. Remote arrangements will also be considered.

Janssen develops treatments that improve the health of people worldwide. Our research spans oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease. Our goal is to help people live longer, healthier lives.

We are seeking highly skilled and motivated Postdoctoral Researchers to join our Video Understanding team at Johnson & Johnson. In this role, you will design, implement, and evaluate state-of-the-art AI/ML methods for frame-level and video-level understanding across diverse medical modalities, including endoscopy, ultrasound, and magnetic resonance enterography (MRE). Your work will specifically focus on developing robust uncertainty models and multi-modal architectures to extract reliable, high-confidence insights from clinical data. You will collaborate closely with clinicians, engineers, and data scientists to translate these advanced algorithms into robust, interpretable, high-impact tools that optimize decision-making within clinical trial efficacy and workflows.

Key Responsibilities

• Conceive, develop, and implement ideas with key internal clinical personnel to understand needs and use cases around AI tools for endoscopy.
• Design, develop, and evaluate deep learning models for medical video and image understanding (scoring, segmentation, and detection).
• Lead the research and development of uncertainty quantification methods for model predictions and integrate uncertainty estimates to quantify the reliability and confidence of AI-driven diagnostic model outputs.
• Develop advanced multi-modal models for video analysis, integrating data from endoscopy, ultrasound, intestinal ultrasound (IUS), and Magnetic Resonance Enterography (MRE).
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
• Participate in cross‑functional team meetings, drive discussion and follow‑up questions to collaborators, and compile answers into briefing reports.
• Extract insights from collection of briefing reports focusing on business value of AI pipelines for immunology.

Qualifications

• A Ph.D. degree in a quantitative discipline (e.g., Physics, mathematics, computer science, electrical engineering, or similar).
• Demonstrated experience driving research in and applying Computer Vision techniques.
• Proven expertise in uncertainty model and measures development, including techniques for uncertainty quantification in deep learning.
• Demonstrated experience on state‑of‑the‑art techniques for video understanding.
• Proficiency with one or more programming languages such as Python or C++.
• Extensive experience with traditional Computer Vision applications.
• Experience with machine learning algorithms.
• Strong publication record and ability to effectively communicate technical work to a wide audience.

Preferred Qualifications

• Domain knowledge and experience with medical videos such as endoscopy.
• Experience with medical imaging modalities including ultrasound, intestinal ultrasound (IUS), and Magnetic Resonance Enterography (MRE) is good to have.
• Experience applying or adapting foundation/self‑supervised pretraining for medical domains.
• Familiarity with clinical trial workflows, regulatory considerations, and working with clinical partners.
• Experience with multimodal AI; familiarity with and exposure to drug discovery and clinical development processes.
• Experience working closely with healthcare professionals.

Thriving on a diverse company culture and celebrating the uniqueness of our employees, we are committed to inclusion. We are proud to be an equal opportunity employer.