Sr. Scientist, Predictive Immune Biomarkers

Job Description 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. The role focuses on developing predictive biomarkers in immunology based on multi‑modal and multi‑scale data analyses. Key Responsibilities Data ingestion: Query external databases to acquire relevant multi‑omics datasets (e.g., PubMed, Gene Expression Omnibus, ArrayExpress, gnomAD, GTEx, Ensembl). RNA‑seq analysis: Perform quality control and analysis of bulk and single‑cell RNA‑seq data using methods such as FastQC, STAR, Limma, DESeq2, ClusterProfiler, Seurat, Scanpy, and LeafCutter. Multi‑omics analysis: Analyze diverse molecular data types including spatial transcriptomics and proteomics. Data integration: Integrate multi‑omics datasets, including gene/protein expression, mRNA splicing, spatial transcriptomics, and genotype data. Documentation: Prepare detailed documentation of analysis methods and results in a timely manner. Required Qualifications PhD in Computational Biology or 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 (RNA‑seq, single‑cell RNA‑seq, genotype, spatial transcriptomics, OLINK). Proficiency in R, Python, and Bash, with ability to establish best practices for reproducible data analyses. Experience with high‑performance computing (HPC) systems and AWS Cloud services (e.g., IAM, S3). Collaborative, self‑motivated with strong work ethic and ability to manage multiple objectives in dynamic environment. Excellent written and verbal communication skills. Preferred Qualifications 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 Skills Biomarkers, computational biology, data science, genomics, high‑performance computing, human genetics, machine learning, and precision medicine. Preferred Skills Population genetics, real‑world data, statistical genetics, transcriptomics. Compensation and Benefits Salary range: $131,400.00 – $206,800.00. This range is the lowest to highest salary we believe we would pay for this role. Eligible for annual bonus and long‑term incentive if applicable. Benefits include medical, dental, vision, retirement with 401(k), paid holidays, vacation, compassionate, and sick days. Full details at the company’s benefits page. Location and Eligibility Position based in Cambridge, MA. US and Puerto Rico residents only. The company is committed to inclusion and provides accommodations during the application process. Equal Employment Opportunity Statement 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 legally protected characteristics. #J-18808-Ljbffr Merck