The role involves pioneering and leading computational efforts to support a biotechnology platform. The individual will develop data frameworks and databases to track DNA translation and drug characteristics. Responsibilities include mapping chemical representation, developing predictive models, and building computational capabilities for mass spectrometry deconvolution. The position requires managing cross-functional teams of scientists and engineers while overseeing budgets and resource allocation. Additionally, the role focuses on fostering a collaborative team environment and communicating technical goals to diverse stakeholders.

Candidates must possess a Master’s or PhD in a relevant field such as computational chemistry, machine learning, or data science. A minimum of 10 years of experience in scientific, engineering, or computational settings within the biotechnology industry is required. Proficiency in Python, modern machine learning frameworks, and informatics software is necessary. The role also demands proven leadership experience in driving results through cross-functional teams and strong communication skills.