Postdoctoral Researcher, Computer Vision – AI/ML Radiology – Oncology

Johnson & Johnson Innovative Medicine is seeking a Postdoctoral Researcher in Computer Vision with a focus on AI/ML applications in Radiology and Oncology. The role involves developing and validating models using real-world imaging datasets to influence cancer therapy development, while collaborating with interdisciplinary teams.

Responsibilities

• Conceive, develop, and implement analytics and AI/Machine learning radiology solutions to high-priority scientific problems
• Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams
• Shape internal/external collaborations and define the scope of research questions
• Extract insight from complex, unstructured radiology image or other imaging modalities data to enhance decision making in clinical development of cancer therapy (e.g., tumor characterization, outcome prediction, etc.)
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making

Skills

• Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or similar), or closely related field, completed within the past 3 years, or to be completed within the next 6 months
• Proficiency in radiology imaging modalities such as CT, PET, MRI, etc
• Demonstrated experience driving research in and applying Computer Vision techniques, such as Foundation models, Transformers, CNNs, Diffusion models, RNNs, GANs, and radiomics
• Extensive experience with traditional Computer Vision applications, such as OpenCV, object detection, edge detection, image segmentation
• Extensive hands-on experience with medical imaging modalities and formats (e.g., DICOM, nrrd, nifti) and collaborating with subject matter experts
• Proficiency with one or more programming languages such as Python or C++
• Strong publication record and ability to effectively communicate technical work to a wide audience
• Experience applying Radiology AI/ML in clinical settings
• Exposure to oncology, preferably solid tumors such as lung cancer
• Hands-on technical data analysis, cloud computing (AWS, Azure), dockerization
• Familiarity with and exposure to drug discovery and clinical development processes
• Experience working closely with healthcare professionals

Benefits

• Medical
• Dental
• Vision
• Life insurance
• Short- and long-term disability
• Business accident insurance
• Group legal insurance
• Consolidated retirement plan (pension)
• Savings plan (401(k))
• Vacation – up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year
• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work
• Personal and Family Time - up to 40 hours per calendar year

Company Overview