Kenai Therapeutics

General

• Design, implement, and maintain scalable, reproducible pipelines for single-cell RNA-seq, spatial transcriptomics, and integrative multiomics data analysis, from raw data through biological interpretation
• Apply statistical modeling and machine learning approaches to large-scale omics datasets to identify biomarkers, characterize cellular heterogeneity, and aid process development
• Leverage AI-based tools and platforms to accelerate research workflows, automate analyses, and enhance software development productivity
• Perform complex data interpretation across modalities (scRNA-seq, genomics, spatial omics, proteomics) and translate findings into actionable insights for programs and leadership
• Partner closely with manufacturing and research teams to align computational efforts with therapeutic objectives and program priorities
• Contribute to data infrastructure strategy, supporting robust systems for data storage, integration, traceability, and long-term analytics
• Communicate results effectively through internal presentations, and cross-functional meetings; distill complex analyses into clear narratives for diverse audiences.

Senior Scientist, Bioinformatics