RESEARCH ASSISTANT I at Sanford Burnham Prebys in San Diego, CA

Summary: Sanford Burnham Prebys is a vibrant global community of talented scientists and researchers dedicated to advancing biomedical sciences. The Research Assistant I will support an interdisciplinary lab focused on computational biology and Artificial Intelligence, developing ML/AI tools for analyzing complex biological systems. Responsibilities: - Perform integrative analyses across single-cell and multi-omics datasets to derive biological insights - Develop, document, and maintain computational pipelines for data processing, modeling, and visualization - Contribute to figure generation, results summaries, and manuscript preparation - Collaborate with experimental scientists to translate questions into analysis plans and interpretable outputs - Practice reproducible research workflows (version control, well-annotated code, and shareable reports) Required Qualifications: - B.Sc. in a quantitative discipline (computer science, computational biology, bioinformatics, systems biology) - Experience with single-cell analysis tools (Scanpy/Seurat) and multi-omics integration - Familiarity with machine learning, including deep learning frameworks (PyTorch/TensorFlow) and/or imaging analysis - Evidence of prior coding projects (GitHub, course projects, notebooks, or publications) Preferred Qualifications: - M.Sc. in quantitative disciplines - Experience with single-cell analysis tools (Scanpy/Seurat) and multi-omics integration - Familiarity with machine learning, including deep learning frameworks (PyTorch/TensorFlow) and/or imaging analysis - Evidence of prior coding projects (GitHub, course projects, notebooks, or publications) Required Skills: Computational Biology, Machine Learning, Single-cell Analysis Important Skills: Deep Learning Frameworks, Multi-omics Integration, Coding Projects Nice-to-Have Skills: Data Visualization Benefits: A collaborative and supportive environment at the forefront of computational and experimental biology., Access to novel, cutting-edge datasets and computational resources., Opportunities for professional development, mentorship, and career advancement., Highly competitive salary, Comprehensive benefits package.