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This role involves researching and validating venture hypotheses in biotechnology, recruiting partners, developing corporate strategy, and managing teams.

The role involves managing high-complexity projects, developing strategic partnerships, and collaborating across teams to achieve project goals in drug development.

The Associate Director/Director of AI & Machine Learning will lead AI/ML strategy, hands-on model development, and implement advanced ML systems to advance therapeutic development.

The Executive Assistant will provide strategic and operational support to the Pioneering Business Unit, manage executive calendars, coordinate projects, support culture, and manage travel logistics while maintaining discretion and effective communication with stakeholders.

Join our team to develop and deploy AI solutions that integrate AI, physics, and hardware for molecular biology advancements.

Develop predictive and generative AI for small molecule lead optimization, collaborating with scientists to build ML models and pipelines.

Develop novel machine learning approaches to optimize therapeutic delivery vehicles, focusing on lipid nanoparticle formulation and in vivo performance with cross-functional collaboration.

The Director acts as a strategic digital partner for biotech companies, aligning digital strategies with business needs, overseeing project execution, and facilitating IT governance.

The Senior Scientist in Bioinformatics will lead computational biology efforts, analyze omics data, utilize AI/ML methods, and support interdisciplinary teams in therapeutic discovery.

Design and develop hardware platforms for next-generation proteomics, collaborating with cross-functional teams from conception to deployment.