As a key leader of the Data Science and Advance Analytics (DSAA) organization in drug development is part of a cross-functional team of drug development scientists and data scientists focused on providing hands on skills, expertise, and tools to facilitate access, integration, visualization, and exploratory analysis of complex and diverse data in support of clinical development activities and decisions. The Data Science Lead will drive execution of exploratory analysis (hypotheses generating and hypotheses generated questions) for scientific considerations related to drug development and clinical study design. Through practical hands-on work, the Data Science Lead will define approaches, processes, algorithms, and tools that support the analytics, visualizations, and decision support needs of drug development scientists and projects. The Data Science Lead will play a key role in building the team with the necessary skills, build relationships with relevant stakeholders, and implement relevant tools and approaches. The Data Science Lead will collaborate with Biostatistics leads and other members of drug development teams to ensure connectivity of exploratory analysis work in support of development, regulatory approval, and market acceptance of Bristol-Myers Squibb (BMS) products. This position may include functional management responsibilities.
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Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree