Postdoc Fellow: Single-Cell & Spatial Transcriptomics

Merck & Co.; Cambridge (MA); On-site; USD 82,000 - 92,000; Full time

Job summary

Merck & Co. in the United States seeks a Postdoctoral Research Fellow to join a cross-functional team exploring single-cell and spatial transcriptomics in immune-mediated inflammatory diseases.

You will analyze large-scale human tissue datasets to identify disease mechanisms and translational biomarkers, bridging computational biology with immunology and translational medicine. The role offers mentorship, opportunities to publish, and collaboration across translational teams, contributing to

Qualifications

• PhD in Computational Biology or related field.
• PhD must be completed by Spring 2027 or already held.

Responsibilities

• Analyze large-scale single-cell RNA-seq and spatial transcriptomics datasets.
• Develop and implement data integration and annotation methods.
• Collaborate with immunologists and clinicians to translate findings.

Skills

R and Python programming

Genomics/multi-omics data analysis

GPU computing / HPC / AWS

Scalable pipelines for scRNA-seq/spati

Publication record in computational/bí

Education

PhD in Computational Biology, Bioinformatics, Systems Biology, Genomics, Computer Science, Statistics, or related

PhD by Spring 2027 or already held

Tools

Seurat/Scanpy/scVI/CellChat/MultiNicheNet

Spatial platforms: Xenium, CosMx, Visium, MERFISH

Job description

Merck & Co. in the United States seeks a Postdoctoral Research Fellow to join a cross-functional team exploring single-cell and spatial transcriptomics in immune-mediated inflammatory diseases.

You will analyze large-scale human tissue datasets to identify disease mechanisms and translational biomarkers, bridging computational biology with immunology and translational medicine. The role offers mentorship, opportunities to publish, and collaboration across translational teams, contributing to