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Niche, senior multimodal medical-AI role with high specialization, reducing applicant density.
High—requires clinical imaging, DICOM, and medical-domain expertise, limiting cross-industry transferability.
High—requires multimodal medical AI expertise, LLM-agent experience, and strong research/publication record.
Design and architect LLM-driven medical AI agents that interpret 3D volumetric medical data, perform multi-step clinical workflows, and assist with radiology and longitudinal patient analysis.
Develop evaluation frameworks for clinical safety, interpretability, and trustworthiness, integrating agents with multimodal foundational models for adaptive reasoning across medical data modalities.
Collaborate with clinicians, scientists, and regulatory teams to co-design datasets, validation protocols, and translate research innovations into medically viable systems with clinical impact.
Experience developing LLM-based agents, tool-using models, chain-of-thought systems, or orchestrated pipelines.
Strong background in multimodal learning, vision-language transformers, contrastive models, or clinical NLP.
Familiarity with medical imaging, radiology workflows, DICOM pipelines, or 3D data representations.
Expertise in PyTorch or JAX and large-scale model training and inference.
Experienced researcher familiar with multimodal/vision-language model ecosystems and pushing towards autonomous medical reasoning and clinical AI impact.
Strong publication record in multimodal AI, medical AI, agentic systems, or large language models, with comfort working alongside clinicians and biomedical researchers.
Practitioner capable of designing safe, interpretable, auditable AI systems, able to innovate in medical agent design and integrate multimodal data effectively.