Cancer Biology Omics Associate Data Scientist

MD Anderson Cancer Center•Houston, TX

3d•Onsite

About The Position

Summary The Associate Data Scientist's 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. This position requires at least 70% onsite presence and is not a remote role. The ideal candidate will have experience in cancer biology omics. At MD Anderson, we offer careers built on care, growth, and balance. Our employees enjoy a benefits package designed to support every stage of life, starting on day one. · Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week · Group Dental, Vision, Life, AD&D and Disability coverage · Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals · Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs · Tuition Assistance Program after six months of service · Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans · Employer paid life, AD&D and an illness-related reduced salary pay program · Extensive wellness, recognition, fitness, employee health programs and employee resource groups

Requirements

Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
Two years experience in scientific software or industry development/analysis.

Nice To Haves

Knowledge of transcriptomics and proteomics is a plus

Responsibilities

Analyzation and Integration Single-Cell and Spatial Omics Data 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.
Computational Pipelines for Biological Insight Development 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, Communicate, and Document Research Outputs 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.

Benefits

Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week
Group Dental, Vision, Life, AD&D and Disability coverage
Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals
Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs
Tuition Assistance Program after six months of service
Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
Employer paid life, AD&D and an illness-related reduced salary pay program
Extensive wellness, recognition, fitness, employee health programs and employee resource groups
medical
dental
paid time off
retirement
tuition benefits
educational opportunities
individual and team recognition