Principal Scientist, Imaging Analytics

Role: Principal Scientist in Imaging Analytics within Johnson & Johnson's Innovative Medicine division, focusing on applying AI to medical imaging (CT, MRI, PET) for early-phase oncology trials. Objectives include developing AI-derived quantitative imaging metrics, advancing foundational imaging AI capabilities, and translating complex imaging data into actionable clinical insights to support drug development decisions. Responsibilities encompass leading end-to-end AI applications on trial imaging data, collaborating across internal teams and external partners to innovate and validate imaging AI models (e.g., segmentation, radiomics, multimodal modeling), and disseminating findings through publications and conferences. The role bridges data science, clinical development, and external collaborations. Qualifications: Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or related field; 3+ years postdoctoral or industry experience in medical imaging AI; proficiency in Python, PyTorch, and imaging libraries such as MONAI and nnU-Net; extensive experience with medical imaging workflows and cloud MLOps; strong publication record and communication skills. Preferred: experience with tumor imaging (lung, head & neck), oncology clinical trials, and endpoints like RECIST. The position is based in the US (New Brunswick, Raritan, Spring House, or Boston) with no explicit travel requirement mentioned.