Sr. Scientist, Predictive Immune Biomarkers

MSD • Cambridge, MA

21h • Hybrid

About The Position

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.

Requirements

• Ph.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 analysis and 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.

Nice To Haves

• Good understanding of auto-immune disease biology.
• Experience in processing and analyzing real-world data.
• Familiarity with spatial transcriptomics analysis.
• Knowledge of statistical and population genetics principles.

Responsibilities

• Query external databases to acquire relevant multi-omics datasets (e.g., PubMed, Gene Expression Omnibus, ArrayExpress, gnomAD, GTEx, Ensembl).
• Perform quality control (QC) and analysis of bulk and single-cell RNA-seq data using state-of-the-art methods (e.g., FastQC, STAR, Limma, DESeq2, clusterProfiler, Seurat, scanpy, LeafCutter).
• Analyze diverse molecular data types including spatial transcriptomics (e.g., Slide-seq, MERFISH, squidpy) and proteomics (e.g., OLINK, mass spectrometry-based approaches).
• Integrate multi-omics datasets, including gene/protein expression, mRNA splicing, spatial transcriptomics, and genotype data.
• Prepare detailed documentation of analysis methods and results in a timely manner.

Benefits

• medical, dental, vision healthcare and other insurance benefits (for employee and family)
• retirement benefits, including 401(k)
• paid holidays
• vacation
• compassionate and sick days
• annual bonus
• long-term incentive

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees