Senior Data Scientist, Predictive Immune Biomarker Foundation Models

Role: Senior Scientist in Predictive Immune Biomarkers within Computational Precision Immunology, focusing on developing and benchmarking foundation models for immune biomarker discovery using multi-modal multi-omics data. Responsibilities: perform QC and analysis of bulk and single-cell RNA-seq, spatial transcriptomics, and proteomics data; integrate diverse datasets; document analysis methods and results. Requirements: Ph.D. in relevant STEM fields; proven experience with multi-omics analysis, foundation models, and AI/ML methods; proficiency in R, Python, Bash; experience with HPC and AWS cloud services; strong communication and collaborative skills. Preferred: knowledge of autoimmune disease biology, spatial transcriptomics, real-world data analysis, and population genetics principles. High-Value Biopharma specifics: immunology research, biomarker discovery, multi-omics integration, foundation models, and AI/ML applications; location in Cambridge, MA; travel approximately 10%; role is within a cutting-edge data science and genomics environment.