2027 Future Talent Program - Translational Genome Analytics - Co-op
Core
Analyze and integrate large transcriptomic and immune-profiling datasets to understand tumor biology, immune response, and support target/biomarker discovery for drug development.
Role type
Computational co-op (intern) in translational genome analytics
Builds
Reproducible analyses, visualizations, and insights for target evaluation and mechanism of action
Domain
Biopharmaceuticals / Computational Biology / Genomics
Deliverable
production ML models | dashboards & analysis
Required skills
Python, R, RNA-seq analysis, single-cell genomics, statistical methods, data visualization, cloud/HPC environments
Preferred skills
Molecular biology, immunology, oncology, bioinformatics, large dataset handling
Technologies
Python, R, RNA-seq, scRNA-seq, HPC, cloud platforms
Responsibilities
Analyze bulk and single-cell RNA-seq data for cell-type annotation and tumor characterization; Relate molecular profiles to drug response to prioritize targets; Characterize transcriptional responses to therapeutic perturbation; Mine molecular databases for biomarker identification; Visualize biological networks and immune cell states.
Seniority
Undergraduate/Graduate student (Co-op)