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The Executive Assistant will provide strategic and autonomous administrative support to executives at Generate Biomedicines, managing complex calendars, executive communications, and facilitating high-level meetings. This role emphasizes problem-solving, stakeholder communication, and project contribution, requiring adaptability and professionalism.

The Senior Scientist II will manage and mentor a team for protein purification and characterization of lead drug candidates, develop production workflows, and ensure QC for in-vivo grade products while bridging R&D to Tech Ops for manufacturability. The candidate will also guide experimental innovation, contribute to scientific strategy, monitor team progress, and identify growth opportunities.

The Senior Program Manager will lead and manage medium-to-large-scale pharmaceutical development programs, develop complex program plans, monitor program financials, and ensure project timelines are met while collaborating with cross-functional teams.

The Senior Research Associate will design and execute in vivo experiments to support immuno-oncology and inflammation programs, conduct animal manipulation and tissue processing, analyze data, and present findings while adhering to laboratory practices and regulations.

The Senior Director of Program Management will oversee early development clinical programs, collaborating with leaders to set strategy and manage complex pharmaceutical development projects. This role involves driving digital solutions, managing team resources, and ensuring program alignment and performance for maximum long-term value.

The Senior Scientist in Machine Learning will develop generative models and algorithms for protein design, scale systems using GPU resources, and collaborate with both computational and wet lab teams to create new therapeutics. The role also involves engineering machine learning systems for large-scale applications and presenting research findings.

The role involves developing generative models and algorithms for protein design, scaling systems for data utilization, collaborating with lab teams, and engineering ML systems for therapeutic applications.