Senior Data Scientist, Predictive Immune Biomarkers

Senior Scientist, Predictive Immune Biomarkers (R3) The Precision Genetics group within the Data, AI and Genome Sciences Department is seeking a Senior Scientist to join our Computational Precision Immunology team in Cambridge, MA. We are looking for a skilled data scientist with extensive experience to develop predictive biomarkers in immunology based on multi-modal and multi-scale data analyses.

Foundation Models: Build, fine-tune, troubleshoot, and benchmark foundation models for predictive immune biomarker discovery. Multi-omics Analysis: Perform quality control (QC) and analysis of different molecular data types including 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.

Ph.D. in Computational Biology or a related 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-cell RNA-Seq, genotype, spatial transcriptomics, OLINK). Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses. Experience with high-performance computing (HPC) systems and AWS Cloud Services (e.g., IAM, S3 buckets). A collaborative and self-motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment and adapting to changing priorities. Excellent written and verbal communication skills.

Good understanding of autoimmune disease biology. Experience in processing and analyzing real-world data. Familiarity with spatial transcriptomics analysis. Knowledge of statistical and population genetics principles. #EligibleforERP Required Skills: Autoimmune Diseases, Biomarkers, Cellular Immunology, Computational Biology, Data Science, Genetic Analysis, High Performance Computing (HPC), Immunology Research, Machine Learning (ML), Omics, RNA-Seq, Stratification, Transcriptomics Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S.

Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts The