Exceptional Opportunity: Computational Biology Research Assistant in Gastrointestinal Cancer Research

Are you passionate about leveraging computational approaches to transform cancer research? Join our dynamic translational research team and apply cutting-edge bioinformatics, spatial biology analysis, and image analysis to advance our understanding of gastrointestinal malignancies!

What You'll Do:

• Analyze spatial biology data to map tumor architecture and microenvironment interactions in GI cancers • Develop and apply computational pipelines for multiplexed imaging analysis, spatial profiling, and single-cell sequencing • Process multiomic datasets (genomics, transcriptomics, proteomics, metabolomics) to uncover novel therapeutic targets • Apply machine learning and computer vision approaches to extract biological insights from tissue imaging and high-dimensional molecular data • Integrate spatial, imaging, single-cell, and molecular data to identify actionable drug targets and biomarkers • Collaborate directly with clinicians and dry-lab researchers to translate clinical questions into computational analyses • Build analytical workflows for diverse high-throughput and high-content datasets

What You'll Gain:

This role offers unparalleled exposure to the intersection of computational biology, spatial omics, imaging analysis, and translational cancer medicine. You'll develop critical skills in:

• Spatial transcriptomics and proteomics data analysis and visualization
• Computational image analysis of multiplexed tissue imaging (IF, IHC, spatial omics platforms)
• Single-cell sequencing data processing and interpretation
• Integration of spatial, imaging, single-cell, and molecular data for biomarker development
• Advanced bioinformatics analysis of cancer genomics and multiomic data
• Computational drug discovery and target identification workflows
• Scientific communication at the interface of computation and biology
• Building networks with computational biologists, pathologists, clinicians, and cancer researchers

Perfect For Students With Expertise In:

Computational Biology • Bioinformatics • Biomedical Imaging/Image Analysis • Data Science (with biology focus) • Quantitative Biology • Systems Biology • Biomedical Informatics • Computer Vision (applied to biology) • Cancer Genomics

Why This Matters:

Your computational analyses will directly inform precision oncology approaches for gastrointestinal cancer patients—bridging spatial data, molecular profiling, imaging, and bedside care. This experience provides exceptional preparation for graduate programs in computational biology, careers in cancer genomics, pharmaceutical/biotech industry roles, or physician-scientist pathways.