Head of AI Structural Biology Research (Remote) (WA)

Key Responsibilities: • Lead and oversee a team of 4-6 AI/ML researchers, providing technical direction and promoting a culture of creativity and innovation. • Drive the development and implementation of cutting-edge AI/ML models and algorithms, with a focus on amino acid sequence generation and 3D protein structure prediction. • Collaborate with cross-functional teams of lab scientists, program managers, and software engineers to set research goals and translate discoveries into real-world applications. • Manage and prioritize multiple research initiatives, ensuring they align with organizational objectives and timelines. • Contribute to the design and architecture of AI systems, balancing research exploration with the needs of production-level implementations. • Serve as a thought leader within the team, particularly in areas related to antibody engineering methodologies. • Mentor and support the growth of team members as AI researchers and engineers. • Represent the organization's AI research capabilities at conferences, in scientific publications, and through collaborations with academic and industry partners. • Uphold and ensure adherence to the company's core values across all projects and interactions. Qualifications: • Ph.D. in Computer Science, Machine Learning, Computational Biology, or a related field. • Over 5 years of experience in AI/ML research, with at least 2 years in a leadership or technical lead capacity. • Strong track record of publications or demonstrated expertise in areas such as generative AI, deep learning, or computational biology. • Experience applying AI methodologies to biological challenges, particularly in protein design or drug discovery. • Proven experience leading AI research projects and successfully transitioning research into practical solutions. • Excellent communication skills, capable of explaining complex AI concepts to various audiences. • Strong analytical and problem-solving abilities, with a critical mindset towards AI research challenges. Preferred Qualifications: • Experience with large-scale multi-node training on HPC GPU clusters or in cloud environments like AWS. • Familiarity with NGS, SPR, or Flow Cytometry data analysis. • Previous experience managing AI research teams. This is a remote position. This is a full time positionApply Now

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