Data Scientist

Job description

Key Responsibilities: - Lead bioinformatic and data science efforts focused on single‑cell RNA‑seq (scRNA‑seq) data, including experimental design support, data processing, quality control, and downstream analysis. - Apply advanced statistical, machine learning, and AI methods to single‑cell transcriptomic data to identify cell states, trajectories, biomarkers, and mechanistic insights relevant to clinical outcomes. - Integrate scRNA‑seq data with complementary data types (e.g., bulk RNA‑seq, genomics, clinical metadata) to support translational and clinical decision‑making. - Analyze and interpret single‑cell TCR sequencing (scTCR‑seq) data to characterize T‑cell clonality, diversity, and clonal dynamics in clinical cell therapy studies. - Integrate scRNA‑seq and scTCR‑seq data to link T‑cell receptor repertoire features with transcriptional states, phenotypes, and clinical outcomes. - Design and implement custom analytical tools and models tailored to cell therapy and immunology research questions. - Collaborate closely with biologists, clinicians, and cross‑functional teams to translate single‑cell analytics into actionable insights for ongoing clinical programs. - Contribute to...