Senior Computational Scientist – Systems Biology & Next‑Gen Data Engineering
Core
Architect and optimize computational pipelines to analyze ultra-large single-cell and spatial datasets, design novel biomarkers, and translate molecular insights into clinical diagnostics.
Role type
Senior IC computational scientist (systems biology & data engineering)
Builds
Scalable, reproducible data workflows and diagnostic biomarkers for clinical utility
Domain
Healthcare / Systems Biology / Genomics / Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
Single-cell and spatial omics analysis, algorithmic optimization, statistical modeling, Linux, workflow orchestration (Nextflow/Snakemake), cloud computing, biomarker discovery, software engineering best practices
Preferred skills
Oncology or immunology research background, next-generation assay platform experience, clinical data integration, machine learning on multi-omic data
Technologies
Nextflow, Snakemake, Linux, cloud computing environments
Responsibilities
Design and validate novel biomarkers and molecular signatures; maintain scalable data workflows for hundreds/thousands of samples; partner with biologists and engineers to drive concept-to-clinical utility
Seniority
Senior, hands-on IC
