Associate Scientist, Post Doc Fellow- Computational Pathology & Spatial AI

Role: Postdoctoral Research Fellow in Computational Pathology and Spatial AI, focusing on developing advanced multimodal AI methods to analyze tumor microenvironment architecture by integrating histopathology, transcriptomics, and spatial biology data. Responsibilities: advance interpretable AI/ML approaches connecting pathology images with molecular data, study tissue organization, support biomarker discovery, and collaborate cross-functionally with teams in data science, pathology, and biology; communicate findings through publications and presentations. Requirements: PhD in Computer Science, AI/ML, Computational Biology, Bioinformatics, or related field; expertise in deep learning, computer vision, multimodal modeling, and biomedical data analysis; proficiency in Python and frameworks like PyTorch; demonstrated research productivity. Preferred: experience in computational pathology, spatial transcriptomics, single-cell omics, foundation models, tumor microenvironment biology, oncology biomarkers, and publication record in venues such as MICCAI, CVPR, NeurIPS, or AACR. HighValue: oncology, spatial biology, multimodal AI, tumor microenvironment, biomarker discovery; development stage not specified. WorkSetup: hybrid with 10% travel; salary range $82,000-$92,000, with benefits and performance bonuses.