La Jolla Lab Hiring for AI/ML Roles

The Encalada Lab at Scripps Research focuses on the cellular and molecular mechanics of neurodegeneration, studying diseases like Alzheimer's and prion diseases. Their work heavily involves analyzing images from high- and super-resolution microscopes to understand intracellular transport and how its failure contributes to aging and disease. This creates a direct need for sophisticated image analysis, a classic application for machine learning and computer vision. Applying AI to neurodegenerative disease research is a rapidly growing field. Deep learning models, particularly convolutional neural networks (CNNs), are being used to analyze complex medical images from MRIs and PET scans to identify subtle patterns and biomarkers that precede clinical symptoms. This computational approach is crucial for automating feature extraction and tracking disease progression, which can be time-consuming and prone to bias when done manually. For a computer science student, roles like these typically involve a strong foundation in Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Experience with analyzing large, multi-modal biomedical datasets is often a preferred qualification. The day-to-day work involves developing and refining ML models, collaborating with biologists to translate computational findings into therapeutic insights, and maintaining the systems for processing large-scale image data. This opportunity is situated within the La Jolla/San Diego area, which ranks as one of the top biotech and health tech hubs in the United States. The area is a dense cluster of prominent research institutions, including Scripps Research and the Salk Institute, alongside a thriving startup scene in areas like genomics, drug discovery, and bioinformatics. This ecosystem provides a rich environment for students to gain experience at the intersection of computational and biological sciences.