Komen Graduate Training Program UT MDACC
Cancer Biology Omics Associate Data Scientist
Komen Graduate Training Program UT MDACC, Houston, Texas, United States, 77246
Overview
Cancer Biology Omics Associate Data Scientist – Komen Graduate Training Program UT MDACC The primary responsibility is 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
Analyze and integrate single-cell and spatial omics data Process and interpret single-cell RNA-seq and spatial proteomic/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 Collaborate 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 Qualifications
Education Required: Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Experience Required: Two years of experience in scientific software or industry development/analysis. Preferred: Knowledge of transcriptomics and proteomics is a plus. Additional Information
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and may require routine reviews and screening. Ability to satisfy and maintain all requirements necessary to ensure continued security is a condition of hire and continued employment. 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/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law. Requisition details and salary information are provided for informational purposes and do not constitute a job offer.
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Cancer Biology Omics Associate Data Scientist – Komen Graduate Training Program UT MDACC The primary responsibility is 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
Analyze and integrate single-cell and spatial omics data Process and interpret single-cell RNA-seq and spatial proteomic/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 Collaborate 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 Qualifications
Education Required: Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Experience Required: Two years of experience in scientific software or industry development/analysis. Preferred: Knowledge of transcriptomics and proteomics is a plus. Additional Information
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and may require routine reviews and screening. Ability to satisfy and maintain all requirements necessary to ensure continued security is a condition of hire and continued employment. 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/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law. Requisition details and salary information are provided for informational purposes and do not constitute a job offer.
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