Description

Postdoctoral Fellow in Multi-Omics and Neurodegenerative Disease Research

The Proteomics Expert Group, led by Dr. Andy Qi, is seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary team focused on applying advanced proteomics and multi-omics approaches to understand the molecular mechanisms underlying Alzheimer's disease and related neurodegenerative disorders within the Center for Alzheimer's Disease and Related Dementias (CARD). The group serves as a central resource for ongoing and future large-scale multi-omics projects within CARD and collaborates extensively with researchers across NIH and external institutions. The laboratory integrates experimental and computational approaches and works closely with a dedicated bioinformatics team to analyze complex datasets spanning: proteomics and quantitative mass spectrometry, biomarker discovery and disease mechanism studies, genomics and human genetics, transcriptomics and single-cell omics, post-translational modification (PTM) proteomics, multi-omics data integration. The successful candidate will have the access to in-house high end mass spec including Astral Zoom and Eclipse Orbitrap instrument, SomaLogic and NULISA platform. The group has track record publishing in high -impact journals such as Nature, Nature Aging, Nature Neuroscience, Cell Stem Cell, Science translational medicine. 

Requirements

Ph.D. in Neuroscience, Bioinformatics, Computational Biology, Proteomics, Molecular Biology, Genetics, Biomedical Engineering, Biostatistics, or a related field. Strong publication record demonstrating research productivity. Experience in  the following areas: a) Mass spectrometry-based proteomics, b)  multi-omics data analysis, c) bioinformatics or computational biology, d) neurodegenerative disease research, e) strong programming and data analysis skills (e.g., R, Python, Linux environment), f) excellent written and oral communication skills, g) ability to work effectively both independently and within collaborative teams. 

Preferred Qualifications
Experience with large-scale omics datasets.
Knowledge of Alzheimer's disease, Parkinson's disease, ALS, frontotemporal dementia, or related disorders.
Familiarity with cloud computing, machine learning, or AI-driven biological data analysis.
Experience integrating genomics, transcriptomics, proteomics, and clinical datasets.
Expertise in PTM proteomics, single-cell omics, or spatial omics technologies.