Job Description
This role provides a unique opportunity for a talented PhD candidate to work on an exciting project leveraging AI tools to improve precision medicine in immuno-oncology. The intern will design and validate AI‑driven, probabilistic models to characterize immune receptor repertoires, derive mechanistic insights, and predict patient outcomes. The role spans transformer‑based design and modeling, multimodal data integration, and robust benchmarking to deliver interpretable predictions that can generalize across cohorts. The intern will contribute to proof‑of‑concept research that supports future foundation models and patient stratification efforts in clinical trials. By the end of this internship, the candidate will have gained hands-on experience analyzing large-scale immunological datasets that inform precision immuno-oncology, along with exposure to translational and discovery efforts supporting both established and emerging immunotherapies in the pharmaceutical industry.
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