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The Principal Scientist in Bioinformatics Data Science leads data analytics and engineering projects aimed at accelerating R&D. They apply computational methods, AI, and machine learning to integrate and analyze diverse datasets for therapeutic development, collaborating with biology and platform teams. Responsibilities include developing computational workflows and contributing to scientific presentations.

The Associate Director, Statistical Programming, will lead statistical programming activities for clinical trials, ensure compliance with SOPs, and oversee programming infrastructure. The role includes collaboration with biostatisticians and cross-functional stakeholders, maintenance of datasets, and providing regulatory submission expertise. Additionally, responsibilities include mentoring junior programmers and driving continuous improvement within the department.

The Senior Scientist in Bioanalysis will design, develop, and optimize ligand-binding assays for assessing the pharmacokinetics and immunogenicity of novel therapeutics. Responsibilities include evaluating assay performance, troubleshooting, performing data analysis, and collaborating across teams to advance treatment pipelines.