Senior Expert I, Data Science

Role: Senior Computational Scientist in Oncology Data Science at Novartis, focusing on induced proximity therapeutics. Responsibilities: collaborate with interdisciplinary teams to design, analyze, and interpret high-dimensional omics data (e.g., RNA-seq, DNA-seq, CRISPR, drug screening); lead genomic and phenotypic profiling to support target identification, patient stratification, and resistance mechanisms; integrate multi-modal preclinical datasets using advanced bioinformatics and machine learning to uncover actionable insights. Qualifications: PhD in Computational Biology, Bioinformatics, or related field; extensive experience with high-dimensional omics data analysis; proficiency in Python, R, UNIX/Linux; strong understanding of cancer biology; experience with AI-assisted coding tools, biomarker discovery, and survival analysis preferred. High-value biopharma specifics: focus on oncology, induced proximity modalities, translational research, and preclinical data integration. Collaboration: work closely with wet-lab and computational teams, presenting findings to stakeholders. Location: onsite in San Diego, CA. Travel: not specified.