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We are seeking a Software Engineer focused on building resilient infrastructure systems for AI drug discovery, enhancing developer productivity and ensuring compliance with biopharma standards.

Seeking a scientist with a strong background in drug discovery and antibody engineering to collaborate with biopharmaceutical partners and ensure successful AI platform engagement.

The company doesn't offer formal internships but welcomes passionate individuals to connect and share their interest in future medical advancements.

Conduct cutting-edge AI research in computational modeling for biological applications; develop, train, and evaluate large models for proteins, antibodies, or small molecules; design tractable experiments, wrangle large biological/chemical datasets, compute metrics, and visualize results; collaborate with wet-lab scientists, engineers, and product leads; communicate findings and iterate to translate research into therapeutic impact.

The role involves communicating effectively, innovating in talent acquisition, and building a strong organizational foundation for the talent function at Chai.

Lead the scaling of Chai's lab-in-the-loop data platform, managing CRO partners while communicating complex scientific goals effectively. Drive experimental data generation in drug discovery.

The VP, Business Development will drive strategic partnerships and manage complex deals while overseeing contracting workflows and maintaining IP strategy.

The Engagement Management role involves building partnerships, ensuring their success, collaborating with scientists, and shaping the company's future with actionable insights.

Develop biologics at Chai Discovery, design constructs, run expression and purification campaigns, and create assays for antibody discovery using AI.

The job invites individuals to express interest by submitting resumes or LinkedIn profiles, emphasizing diversity and contributions to the mission.