This is a highly collaborative position for someone who wants their ML work to directly shape how biological experiments are designed and run, advance neurodegenerative disease research by uncovering meaningful correlations across pathology datasets, and help lab members improve and scale cell image analysis pipelines. Frameworks, Infrastructure & Scaling: Hands-on experience with deep learning tools (PyTorch, JAX, OpenCV, Hugging Face), MLOps frameworks (Docker, containerization, Computer Systems) and distributed platforms (Slurm, Kubernetes) and software engineering practices.