Senior Data Scientist
Core
Lead bioinformatic and data science efforts focused on single‑cell RNA‑seq (scRNA‑seq) and TCR sequencing data to identify cell states, trajectories, and biomarkers relevant to clinical outcomes in cell therapy and immunology.
Role type
Senior IC computational biologist / data scientist (single-cell genomics)
Builds
Analytical models and reproducible data architectures for clinical NGS and single‑cell data
Domain
Biomedical research, immunology, cell therapy, single-cell transcriptomics
Deliverable
production ML models
Required skills
single-cell RNA-seq data analysis, NGS workflows, single-cell immune repertoire sequencing, Python, R, cloud computing, statistical methods, trajectory inference, differential expression
Preferred skills
immunology, immune-oncology, cell therapy research
Technologies
Python, R, cloud platforms, high-performance computing clusters
Responsibilities
Design experimental support for scRNA-seq, apply ML/AI to transcriptomic data, integrate multi-omics data, analyze scTCR-seq for clonality, design custom analytical tools, manage code repositories and best practices, establish scalable data architectures
Seniority
Senior, hands-on IC
