Postdoctoral Researcher Video team

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

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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 (Titusville NJ; Raritan NJ; La Jolla CA; Cambridge MA; New York NY; Spring House PA) or Europe (UK Netherlands Switzerland Austria). 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 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.

We are seeking highly skilled and motivated Postdoctoral Researchers to join our Video Understanding team at Johnson & 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 developingrobust uncertainty modelsand 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 (e.g. Bayesian approaches ensembles calibration metrics and predictive intervals) 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

Required 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 (e.g. Transformers CNNs RNNs GANs).

• 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 (e.g. foundational models transformers).

• Proficiency with one or more programming language such as Python or C.

• Extensive experience with traditional Computer Vision applications such as OpenCV object detection edge detection image segmentation.

• Experience with machine learning algorithms including random forest SVM boosting neural networks etc.

• Strong publication record and ability to effectively communicate technical work to a wide audience.

Preferred Qualifications:

• Domain knowledge andexperience 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/selfsupervised pretraining for medical domains (e.g. DINOv2 contrastive methods).

• 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.

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.

Working with Johnson & Johnson can change everything. Including YOU.

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