Senior Spatial Transcriptomics Scientist

Vertex Pharmaceuticals Incorporated; Seattle (WA); On-site; USD 124,200 - 186,400; Full time

Benefits offered by this job

Annual bonus

Equity awards

Comprehensive benefits

Paid time off

Job summary

Vertex Pharmaceuticals Incorporated is seeking a Senior Scientist, Spatial Transcriptomics in Seattle to provide expert leadership in spatial biology. You will drive studies that reveal tissue architecture and cellular microenvironments, integrating spatial data with single-cell, proteomic, and imaging datasets to inform disease biology and biomarker strategies.

The role requires PhD or equivalent experience with 2+ years in relevant work, strong experimental design, and collaboration across

Qualifications

• Deep expertise in spatial transcriptomics and tissue-based molecular profiling.
• Experience with fresh frozen and FFPE tissue processing and assay optimization.
• Strong cross-functional collaboration skills and data interpretation ability.

Responsibilities

• Lead design, execution, and optimization of spatial transcriptomics studies.
• Characterize tissue architecture and cellular microenvironments.
• Integrate spatial data with multi-omic datasets to derive biological insights.
• Develop robust workflows for sample prep, assay execution, QC, and data review.
• Mentor junior scientists and contribute to a high-performing team.

Skills

Spatial transcriptomics

Tissue profiling

RNA biology

Single-cell RNA-seq

Data interpretation

Experimental design

Cross-functional collaboration

Python

R

Education

PhD in Immunology/Cell Biology/Molecular Biology or related

Master's degree with 6+ years of relevant experience

Bachelor's degree with 8+ years of relevant experience

Tools

R and Python

Bioinformatics workflows

Job description

Vertex Pharmaceuticals Incorporated is seeking a Senior Scientist, Spatial Transcriptomics in Seattle to provide expert leadership in spatial biology. You will drive studies that reveal tissue architecture and cellular microenvironments, integrating spatial data with single-cell, proteomic, and imaging datasets to inform disease biology and biomarker strategies.

The role requires PhD or equivalent experience with 2+ years in relevant work, strong experimental design, and collaboration across