Postdoc: Computational Scientist in Spatial Transcriptomics

Memorial Sloan; New York (NY); On-site; USD 72,000 - 88,000; Full time

Job summary

Memorial Sloan Kettering Cancer Center (MSK) seeks a PhD-level Computational Scientist to drive translational cancer research at the intersection of statistics, single-cell/spatial omics, and clinical translation. You will map the tumor immune microenvironment, decode cellular niches, and collaborate with a multidisciplinary team of computational biologists, statisticians, and surgeons.

You will develop statistical frameworks, apply advanced spatial analyses, and contribute to study design and

Qualifications

• PhD in a quantitative field with strong core statistics training.
• Proven ability to analyze single-cell and high-plex spatial data.
• Experience with multiplexed imaging or sequencing-based spatial platforms.
• Strong programming in Python and/or R; familiarity with Seurat/Giotto.
• Background in spatial statistics and cell deconvolution methods.

Responsibilities

• Develop and apply statistical frameworks for TIME mapping and niche profiling.
• Build pipelines for multiplexed spatial imaging data and paired single-cell data.
• Collaborate with computational biologists, statisticians, and clinicians.
• Bridge mathematical methods with clinical interpretation and study design.

Skills

Single-cell analysis

Spatial omics

Python

R programming

Seurat

Giotto

Bioconductor

Spatial statistics

TIL analysis

Education

PhD in Biostatistics, Statistics, Computational Biology, Bioinformatics

Tools

Imaging Mass Cytometry (IMC)

10x Genomics Xenium

NanoString CosMx

10x Genomics Visium

Python

R

Job description

Memorial Sloan Kettering Cancer Center (MSK) seeks a PhD-level Computational Scientist to drive translational cancer research at the intersection of statistics, single-cell/spatial omics, and clinical translation. You will map the tumor immune microenvironment, decode cellular niches, and collaborate with a multidisciplinary team of computational biologists, statisticians, and surgeons.

You will develop statistical frameworks, apply advanced spatial analyses, and contribute to study design and