Senior Data Scientist, Predictive Immune Biomarker Foundation Models

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.

Key Responsibilities:

• 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.

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-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.

Preferred Qualifications:

• 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

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The salary range for this role is

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits.  Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.