Postdoc: Lymphoma-Myeloma Single-Cell Genomics

University of Texas MD Anderson Cancer Center

Houston (TX)

On-site

USD 64,000 - 76,000

Full time

14 days+

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Job summary

University of Texas MD Anderson Cancer Center seeks a postdoctoral researcher to integrate and analyze single cell RNA-sequencing and spatial transcriptomics data from lymphoma patients. The role involves collaborating with clinicians to advance understanding of B-cell lymphoma biology and potential therapies.

The ideal candidate has a PhD in computational biology or a related field, strong coding skills in R/Python, and experience with high-performance computing and genomics data analysis.

Qualifications

  • PhD in computational biology, bioinformatics, genomics, genome science or related field required.
  • Strong computational background and proficiency in at least one programming language (R, Python, Perl, C++, Java).
  • Experience with high-performance computing environments and large-scale genomics data analyses preferred.

Responsibilities

  • Integrate and analyze single cell RNA-sequencing and spatial transcriptomics data from lymphoma patients.
  • Collaborate with scientists and clinicians to develop novel strategies for lymphoma research.
  • Present findings at scientific conferences and publish in high-impact journals.
  • Ensure compliance with institutional policies and regulations.

Skills

Programming in R
Python
Biostatistics

Education

PhD in computational biology or related field

Tools

HPC cluster
Single-cell RNA-seq
ATAC-seq
ChIP-seq
Hi-C

Job description

University of Texas MD Anderson Cancer Center seeks a postdoctoral researcher to integrate and analyze single cell RNA-sequencing and spatial transcriptomics data from lymphoma patients. The role involves collaborating with clinicians to advance understanding of B-cell lymphoma biology and potential therapies.

The ideal candidate has a PhD in computational biology or a related field, strong coding skills in R/Python, and experience with high-performance computing and genomics data analysis.

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