Assoc. Scientist,Post Doc Fellow
Core
Design, build, validate, and deploy frontier AI/ML models for tissue analytics and computational pathology to analyze digital pathology and tissue imaging data from preclinical and clinical studies. (via careerplan.io/jobs/R419798-assoc-scientistpost-doc-fellow-at-msd)
Role type
Postdoctoral Fellow, AI/ML for Tissue Analytics
Builds
Scalable AI/ML solutions for real-world translational research and next-generation tissue analytics capabilities
Domain
Biopharmaceuticals, Computational Pathology, Digital Pathology
Deliverable
production ML models
Required skills
Foundation models, Multimodal learning, Generative AI, Transformers, Self-supervised learning, Python, PyTorch, TensorFlow, scikit-learn, Digital pathology, Tissue imaging, Computational pathology, Spatial biology, Image segmentation, Image registration, Feature extraction
Preferred skills
AWS SageMaker, Databricks, OpenCV, ITK, SimpleITK, HALO, QuPath, Visiopharm, Disease biology (neuroscience, cardiometabolic, immunological)
Responsibilities
Design and execute computational studies to interpret AI/ML findings in the context of disease biology and biomarker discovery; Collaborate with interdisciplinary teams spanning data science, pathology, biology, and translational research; Disseminate scientific advances through peer-reviewed publications and presentations at leading scientific conferences.
Seniority
Postdoctoral Fellow, independent research
