Senior Scientist – Spatial Oncology Analytics

Stellaromics Inc.

Boston (MA)

On-site

USD 120,000 - 170,000

Full time

2 hours ago
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Job summary

Stellaromics Inc. in Boston (with a San Diego option) seeks a hands-on Computational Oncology expert to lead our spatial biology initiatives, bridging raw molecular data with high-resolution biological insight.

Lead analyses of tumor microenvironment datasets, including cellular composition, spatial organization, and neighborhood dynamics; translate results into testable oncology hypotheses and adapt workflows.

Qualifications

  • PhD in cancer biology, molecular biology, genomics, computational biology, or related field (or MS with equivalent industry experience).
  • Fluent in spatial and single-cell computational concepts: segmentation, deconvolution, neighborhood analysis.
  • Hands-on experience with major spatial platforms (Xenium, CosMx, GeoMx, MERSCOPE, Visium).

Responsibilities

  • Lead computational analysis and interpretation of high-dimensional spatial and single-cell oncology datasets.
  • Analyze tumor microenvironment biology including cellular composition, cell states, spatial organization, and tumor heterogeneity.
  • Develop analytical approaches for segmentation, deconvolution, spatial neighborhood analysis, biomarker discovery, and tissue architecture characterization.
  • Translate complex datasets into biologically meaningful hypotheses and actionable insights for oncology research.

Skills

Spatial biology
Single-cell analysis
Tumor microenvironment
Data integration
Computational biology
Communication

Education

PhD in cancer biology/genomics/computational biology

Tools

Xenium
CosMx
GeoMx
MERSCOPE
Visium

Job description

Stellaromics Inc. in Boston (with a San Diego option) seeks a hands-on Computational Oncology expert to lead our spatial biology initiatives, bridging raw molecular data with high-resolution biological insight.

Lead analyses of tumor microenvironment datasets, including cellular composition, spatial organization, and neighborhood dynamics; translate results into testable oncology hypotheses and adapt workflows.

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