Jobs at Buck Institute for Research on Aging

Conduct aging and age-related disease research using proteomic workflows and liquid chromatography-mass spectrometry. Analyze human tissues, cancer and Alzheimer’s disease samples, and biofluids to understand mechanisms and discover biomarkers. Independently operate mass spectrometry instrumentation, perform protein quantification, support technology development, and process research data within collaborative projects focused on aging, neurodegeneration, proteostasis, kidney injury, metabolism, and sirtuins.

Investigate mitochondria-lysosome crosstalk in aging and cellular senescence using cell biology, advanced imaging, quantitative analysis, genetics, mechanistic perturbation, high-content microscopy, and computational approaches. The researcher will study organelle communication, cellular homeostasis, and age-associated dysfunction across yeast, human cells, and animal models, while contributing to multidisciplinary research pipelines involving automation, high-throughput screening, and machine-learning-based image analysis.

Develop and apply advanced AI and machine learning methods to aging biology research. Build computational approaches for large-scale biological and imaging data, including computer vision, segmentation, deep learning, generative AI, diffusion, multimodal, and foundation models. Analyze complex datasets, identify biologically meaningful patterns, collaborate with experimental and computational researchers, and help shape research at the intersection of AI, imaging, and aging.

Develop AI-enabled systems for harmonizing, modeling, and interpreting large biomedical and multi-omics datasets. Build LLM-powered tools, agentic workflows, RAG systems, data pipelines, and predictive models supporting computational biology and aging research. Collaborate with scientists and engineers on data curation, literature mining, annotation, reproducibility, documentation, manuscripts, and research software. Apply machine learning, network analysis, clustering, classification, and biological interpretation to transcriptomics, proteomics, metabolomics, clinical, imaging, and phenotypic data.

Conduct research on age-related cellular phenotypes using microscopy, machine vision, and high-throughput screening. Develop deep-learning and classical image-analysis pipelines for segmentation, object detection, registration, and tracking. Integrate imaging and compound-library data with databases, support cell-painting and small-molecule screens, automate data acquisition, and interpret experimental results. Collaborate across laboratories while contributing to publications and advancing computational approaches to aging research.

Conduct bioinformatics and data science analyses of human biological, clinical, and multi-omics datasets. Develop and run reproducible workflows, curate and harmonize research data, support quality control and repository uploads, and improve data-management procedures. Collaborate with researchers and external partners, contribute to grants and manuscripts, create publication-quality visualizations, present findings, and translate computational results into biological interpretations. The role also supports applications of large language models and agentic AI to biomedical research.

Conduct mechanistic research on ribosome biogenesis, remodeling, structure, localization, and translation in cytosolic and mitochondrial systems. Design experiments using biochemistry, quantitative imaging, cryo-EM, cryo-ET, proteomics, microscopy, and computational analysis. Develop an independent research program, analyze quantitative data, publish findings, collaborate across disciplines, and communicate results effectively.

Lead high-throughput screening programs focused on brain aging, neurodegeneration, OXR1, and APOE2 biology. Develop high-content imaging and Cell Painting workflows, iPSC-derived neuronal and organoid models, robotic automation processes, and image-analysis pipelines using Python and R. Collaborate across the institute, contribute to publications, pursue fellowship and grant funding, and participate in the broader scientific community.