MD Anderson Cancer Center
Cancer Biology Omics Associate Data Scientist
MD Anderson Cancer Center, Houston, Texas, United States, 77246
Cancer Biology Omics Associate Data Scientist
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Cancer Biology Omics Associate Data Scientist
role at
MD Anderson Cancer Center .
Summary Their primary responsibility will be to assist in the computational analysis of spatial single-cell transcriptomic and proteomic data from patient tumors generated from platforms such as CosMx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell‑cell communication, and uncovering pathways through which host‑microbe interactions influence tumor biology.
Responsibilities
Process and interpret single‑cell RNA‑seq and spatial proteomic and transcriptomic datasets to identify cellular states and tumor microenvironment features.
Integrate multimodal data from platforms such as CosMx, MIBI, STOmics or GeoMx to uncover spatial niches and model cell‑cell and host‑microbe interactions.
Apply analytical methods including clustering, differential expression, trajectory inference, and spatial proximity analyses.
Build, document, and maintain reproducible analysis pipelines in Python and R for high‑dimensional omics datasets.
Conduct pathway enrichment and network‑based analyses to identify biologically relevant trends in cancer and immune responses.
Generate publication‑ready visualizations and figures that communicate key findings for manuscripts, grants, and presentations.
Partner with interdisciplinary team members to interpret data, support experimental planning, and contribute to scientific publications.
Present analytical results in lab meetings and project discussions to inform ongoing research directions.
Maintain well‑organized code, metadata, and supplementary materials to support reproducibility and data sharing.
Education and Experience
Required: Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
Required: Minimum two years of scientific software or industry development/analysis experience.
Preferred: Knowledge of transcriptomics and proteomics.
Equal Employment Opportunity It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity or expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or applicable law.
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Cancer Biology Omics Associate Data Scientist
role at
MD Anderson Cancer Center .
Summary Their primary responsibility will be to assist in the computational analysis of spatial single-cell transcriptomic and proteomic data from patient tumors generated from platforms such as CosMx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell‑cell communication, and uncovering pathways through which host‑microbe interactions influence tumor biology.
Responsibilities
Process and interpret single‑cell RNA‑seq and spatial proteomic and transcriptomic datasets to identify cellular states and tumor microenvironment features.
Integrate multimodal data from platforms such as CosMx, MIBI, STOmics or GeoMx to uncover spatial niches and model cell‑cell and host‑microbe interactions.
Apply analytical methods including clustering, differential expression, trajectory inference, and spatial proximity analyses.
Build, document, and maintain reproducible analysis pipelines in Python and R for high‑dimensional omics datasets.
Conduct pathway enrichment and network‑based analyses to identify biologically relevant trends in cancer and immune responses.
Generate publication‑ready visualizations and figures that communicate key findings for manuscripts, grants, and presentations.
Partner with interdisciplinary team members to interpret data, support experimental planning, and contribute to scientific publications.
Present analytical results in lab meetings and project discussions to inform ongoing research directions.
Maintain well‑organized code, metadata, and supplementary materials to support reproducibility and data sharing.
Education and Experience
Required: Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
Required: Minimum two years of scientific software or industry development/analysis experience.
Preferred: Knowledge of transcriptomics and proteomics.
Equal Employment Opportunity It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity or expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or applicable law.
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