Senior Data Scientist, Predictive Immune Biomarker Foundation Models

The Precision Genetics group within the Data, AI and Genome Sciences Department seeks a Senior Scientist to join our Computational Precision Immunology team in Cambridge, MA. The ideal candidate is a highly skilled data scientist with extensive experience in developing predictive biomarkers in immunology using multi-modal and multi-scale data analyses.

Key Responsibilities: - Foundation Models: Build, fine-tune, troubleshoot, and benchmark foundation models for predictive immune biomarker discovery. - Multi-omics Analysis: Perform quality control and analysis of bulk and single-cell RNA-seq (e.g., Limma, Seurat, scanpy), spatial transcriptomics (e.g., CosMx, 10x Visium), and proteomics (e.g., OLINK, mass spectrometry-based approaches). - Multi-omics Integration: Integrate multi-omics datasets, including gene/protein expression, spatial transcriptomics, and genotype data. - Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.

Required Qualifications: - Ph.D. in Computer Science, Engineering, Data Science, AI/ML, Bioinformatics, Computational Biology, Genetics & Genomics, Mathematics, Statistics, Physics, Pharmaceutical Science, or related STEM field. - A proven track record in multi-omics analysis. - Hands-on experience with building, fine-tuning, benchmarking foundation models, preferably for patient stratification related downstream tasks. - Fundamental understanding of AI/ML methods, multi-omics data analysis, and omics integration (e.g., RNA-Seq, single-ce

Senior Data Scientist, Predictive Immune Biomarker Foundation Models

The Precision Genetics group within the Data, AI and Genome Sciences Department seeks a Senior Scientist to join our Computational Precision Immunology team in Cambridge, MA. The ideal candidate is a highly skilled data scientist with extensive experience in developing predictive biomarkers in immunology using multi-modal and multi-scale data analyses.

Key Responsibilities: - Foundation Models: Build, fine-tune, troubleshoot, and benchmark foundation models for predictive immune biomarker discovery. - Multi-omics Analysis: Perform quality control and analysis of bulk and single-cell RNA-seq (e.g., Limma, Seurat, scanpy), spatial transcriptomics (e.g., CosMx, 10x Visium), and proteomics (e.g., OLINK, mass spectrometry-based approaches). - Multi-omics Integration: Integrate multi-omics datasets, including gene/protein expression, spatial transcriptomics, and genotype data. - Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.

Required Qualifications: - Ph.D. in Computer Science, Engineering, Data Science, AI/ML, Bioinformatics, Computational Biology, Genetics & Genomics, Mathematics, Statistics, Physics, Pharmaceutical Science, or related STEM field. - A proven track record in multi-omics analysis. - Hands-on experience with building, fine-tuning, benchmarking foundation models, preferably for patient stratification related downstream tasks. - Fundamental understanding of AI/ML methods, multi-omics data analysis, and omics integration (e.g., RNA-Seq, single-ce