Senior Data Scientist – Cambridge

A senior data scientist in Cambridge is responsible for developing predictive immune biomarkers using multi-modal data analysis techniques, including RNA-seq, spatial transcriptomics, and proteomics. They build, fine-tune, and benchmark foundation models targeted at patient stratification and immunology applications, while integrating multi-omics datasets and ensuring reproducibility through documentation. The role demands advanced knowledge of AI/ML methods, proficiency in R, Python, and Bash, and experience with high-performance computing and cloud services. The candidate should hold a relevant PhD, demonstrate a strong track record in multi-omics analysis, and possess excellent communication skills. The position involves collaboration within a multidisciplinary team, managing multiple objectives in a dynamic environment, and adapting to evolving research priorities.