"Biomedical AI Scientist - Neurology"

Position Summary

Position focuses on developing and applying large language models (LLMs) and deep learning systems to accelerate scientific discovery in the biomedical field. Position is part of the AI Biomedical Research Scientist Initiative, a cross-disciplinary project involving the Tracy Family SILQ Center, and collaborators across academia and industry. Your work will contribute to a transformative AI system that enhances scientific reasoning, experimental planning, and literature analysis in Alzheimer’s and broader biomedical research.

Job Description

Primary Duties & Responsibilities:

• Lead the optimization of large-scale LLMs and deep learning architectures for biomedical research.
• Design and deploy high-performance AI systems using GPUs and hardware accelerators.
• Interact and collaborate with large tech AI companies, Pharma AI/IT groups, and Academic collaborators.
• Build and optimize scalable training and inference pipelines for structured and unstructured biomedical data.
• Collaborate with interdisciplinary researchers, engineers, and domain scientists across Washington University and national/international collaborators.
• Publish research in top-tier venues and contribute to open-source scientific software where applicable.
• Stay abreast of developments in AI, machine learning, and biomedical applications.
• Develop foundational AI models with semantic reasoning, knowledge integration, and domain adaptation capabilities.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education: Master's degree - Biomedical Engineering

Certifications: No specific certification is required for this position.

Work Experience: No specific work experience is required for this position.

Skills: Not Applicable

Driver's License: A driver's license is not required for this position.

Preferred Qualifications

• Familiarity with biomedical datasets or scientific literature analysis.
• Publications in AI/ML conferences (NeurIPS, ICML, ICLR, ACL) or biomedical informatics.
• Experience with knowledge graphs, LLM, agentic systems.
• Understanding of distributed training (e.g., DeepSpeed, FSDP, Ray, or MPI-based systems).
• Familiarity with GPU-accelerated computing (e.g., CUDA, NVIDIA ecosystem).

Work Experience: Engineering (4 Years)

Skills: Artificial Intelligence (AI), Java, Large Language Models (LLMs), Python (Programming Language), PyTorch, Tensorflow

Grade

G17

Salary Range

$110,300.00 - $194,200.00 / Annually