The Immune Profiling and Systems Immunology (IPSI) team in Discovery Immunology at Cambridge, Massachusetts is seeking a highly skilled candidate (senior scientist) with expertise in spatial proteomics, single cell multi-omics data integration, and machine learning/artificial intelligence. The ideal candidate will have a strong background in bioinformatics and computational biology, with deep experience analyzing complex proteomics and spatial datasets, including CyTOF, Flow Cytometry and Imaging Mass Cytometry (IMC) - based proteomics, and related high-dimensional data modalities. This role will support the analysis of internal datasets and contribute to the identification of novel therapeutic targets for autoimmune and chronic inflammatory diseases. 

Key Responsibilities: 

• Perform advanced analysis of high-dimensional proteomics and spatial datasets, including CyTOF, Flow Cytometry, and IMC to generate actionable biological insights. 
• Develop, optimize, and maintain computational workflows and analytical pipelines for the processing, visualization, and interpretation of spatial proteomics and multi-omics data. 
• Conduct image-based protein quantification using IMC and spatial technologies, with a focus on cellular localization, tissue architecture, and co-localization of immune and stromal components. 
• Apply machine learning and AI-based approaches and network dynamics to identify patterns, classify disease states, prioritize biomarkers, and support target discovery across integrated multi-omics datasets. 
• Collaborate with immunologists, biologists, computational scientists, and data engineers to translate analytical findings into preclinical and translational research applications. 
• Integrate proteomics data with transcriptomic, spatial, and other omics modalities to build a more comprehensive view of disease mechanisms. 
• Communicate complex analytical methods, results, and biological interpretations to both technical and non-technical stakeholders. 
• Contribute to scientific publications, conference presentations, and other internal or external research deliverables as needed.