Sr. Scientist, Predictive Immune Biomarkers

Job OverviewThe 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. This role focuses on developing predictive biomarkers in immunology through multi‑modal, multi‑scale data analyses.Key ResponsibilitiesData Ingestion: Query external databases (PubMed, Gene Expression Omnibus, ArrayExpress, gnomAD, GTEx, Ensembl) to acquire relevant multi‑omics datasets.RNA‑seq Analysis: Perform quality control and analysis of bulk and single‑cell RNA‑seq data using FastQC, STAR, Limma, DESeq2, clusterProfiler, Seurat, scanpy, LeafCutter, and related tools.Multi‑Omics Analysis: Analyze spatial transcriptomics (Slide‑seq, MERFISH, squidpy) and proteomics data (OLINK, mass‑spectrometry‑based approaches).Data Integration: Integrate multi‑omics datasets—including gene/protein expression, mRNA splicing, spatial transcriptomics, and genotype data—to generate actionable insights.Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.Required QualificationsPh.D. in Computational Biology or a related field.Over 5 years of hands‑on experience in multi‑omics analysis.Fundamental understanding of statistical methods and multi‑omics data integration (RNA‑Seq, single‑cell RNA‑Seq, genotype, spatial transcriptomics, OLINK).Proficiency in R, Python, and Bash with ability to establish reproducible data‑analysis best practices.Experience with high‑performance computing (HPC) systems and AWS Cloud Services (IAM, S3 buckets).Strong work ethic with ability to manage multiple objectives in a dynamic environment and adapt to changing priorities.Excellent written and verbal communication skills.Preferred QualificationsGood understanding of auto‑immune disease biology.Experience processing and analyzing real‑world data.Familiarity with spatial transcriptomics analysis.Knowledge of statistical and population genetics principles.Required SkillsBiomarkers, computational biology, data science, genomics.High performance computing (HPC), human genetics, machine learning (ML), omics.Precision medicine (PM), RNA sequencing.Preferred SkillsPopulation genetics, real‑world data, statistical genetics, transcriptomics.Equal Employment Opportunity StatementAs 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. We comply with all affirmative action requirements for protected veterans and individuals with disabilities.Salary and BenefitsSalary range: $131,400.00 – $206,800.00. The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable. We offer a comprehensive benefits package, including medical, dental, vision, and other insurance benefits for employees and families; retirement benefits including 401(k); paid holidays, vacation, and sick days.Location and ResidencyPosition located in Cambridge, MA. US and Puerto Rico residents qualified. Candidates residing in San Francisco, Los Angeles, or other locations may be considered in accordance with local laws and company policies. #J-18808-Ljbffr