Senior Data Scientist: Immune Biomarkers & Found. Models

MSD; Cambridge (MA); Sur place; USD 145 000 - 228 000; Plein temps

Avantages offerts par ce poste

Annual bonus

Long-term incentive

Comprehensive benefits

Résumé du poste

Merck & Co., Inc. in Cambridge, MA is seeking a Senior Scientist to lead computational immunology efforts for predictive immune biomarker discovery using multi-omics and foundation models.

You will collaborate across data science teams to drive predictive insights from diverse data modalities. The role emphasizes building scalable analyses, reproducible workflows, and clear communication of methods and results in a fast-paced research environment.

Qualifications

• Ph.D. in Computational Biology or related field.
• Proven track record in multi-omics analysis.
• Hands-on experience with building, fine-tuning, benchmarking foundation models for patient stratification tasks.
• Proficiency in R, Python, and Bash with reproducible analyses.
• Experience with HPC systems and AWS Cloud Services.

Responsabilités

• Foundation Models: Build, fine-tune, troubleshoot, and benchmark foundation models for predictive immune biomarker discovery.
• Multi-omics Analysis: QC and analysis of bulk and single-cell RNA-seq, spatial transcriptomics, and proteomics.
• Multi-omics Integration: Integrate gene/protein expression, spatial data, and genotype data.
• Documentation: Prepare detailed documentation of analysis methods and results.

Connaissances

R/Python/Bash

HPC & AWS

Multi-omics analysis

Foundation models

Formation

Ph.D. in Computational Biology

Outils

Seurat

Scanpy

Limma

OLINK

Description du poste

Merck & Co., Inc. in Cambridge, MA is seeking a Senior Scientist to lead computational immunology efforts for predictive immune biomarker discovery using multi-omics and foundation models.

You will collaborate across data science teams to drive predictive insights from diverse data modalities. The role emphasizes building scalable analyses, reproducible workflows, and clear communication of methods and results in a fast-paced research environment.