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The role involves designing and implementing advanced ML systems for therapeutic discovery, developing generative and transformer-based models, and collaborating with teams to derive insights from biological data.

The Product Lead will drive product development and user growth, define roadmaps, own scaling strategies, and collaborate across teams to build AI-powered solutions for mental health.

The contractor will design and optimize proteins for delivery, analyze protein sequences, and run structure predictors while documenting findings.

The Senior Director of Program Management will lead strategic partnerships, manage complex projects, and foster collaboration across teams in a biopharmaceutical environment.

The Enterprise Applications Business Analyst will support business stakeholders and technical teams by gathering requirements, analyzing data, managing system enhancements, and driving process improvements across enterprise applications.

The AI Associate will develop and deploy ML models, validate venture hypotheses, manage risks, and contribute to AI/ML advancements in biotech.

Develop and apply ML methods to create psychological tools, collaborating with experts, building data pipelines, and integrating systems into real-world applications.

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.