The job aims to solve the problem of analyzing spatial single-cell transcriptomic and proteomic data from patient tumors to uncover biological insights, particularly in understanding tumor microenvironment features and host-microbe interactions, using platforms such as CosMx Spatial Molecular Imager.
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.
- Knowledge of transcriptomics and proteomics is a plus.
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.
- Maintain well-organized code, metadata, and supplementary materials to support reproducibility and data sharing.
Other
- This position requires at least 70% onsite presence and is not a remote role.
- Maintain the security and integrity of critical infrastructure as defined in Section 113.001(2) of the Texas Business and Commerce Code.
- Ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
- 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.
