Associate Scientist, Post Doc Fellow- Computational Pathology & Spatial AI
$82k - $92kMerck
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. 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. Publication record in venues such as MICCAI, CVPR, NeurIPS, or AACR. High Value Oncology, spatial biology, multimodal AI, tumor microenvironment, biomarker discovery. Development stage not specified. Work Setup Hybrid with 10% travel. Salary range $82,000-$92,000, with benefits and performance bonuses. #J-18808-Ljbffr Merck
Vacancy posted 9 hours ago
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