About the Company

• A newly established AI-driven biotechnology company backed by a leading RMB 10 billion+ private equity fund, focused on building a next-generation platform for large-molecule drug discovery and development.
• The company aims to redefine the paradigm of biologics R&D by integrating cutting-edge artificial intelligence, large-scale computational infrastructure, and automated experimental validation to accelerate the discovery of novel therapeutics across antibodies, gene and cell therapy tools, and viral delivery systems.

About the Job

Strategic Leadership & Corporate Management

• Serve as Founder, Chairman, and the ultimate strategic leader responsible for defining the company's long-term vision, business model, and growth roadmap.
• Lead corporate governance and board management while establishing a world-class executive leadership team, including key functions such as CEO, COO, Head of Wet Lab, Platform Engineering, and Business Development.
• Drive company-wide strategic planning, operational excellence, and organizational scaling from early-stage venture to globally recognized biotech platform.
• Lead future fundraising activities and capital market initiatives in partnership with top-tier technology and healthcare investors.
• Represent the company in strategic partnerships with global pharmaceutical companies, academic institutions, research hospitals, cloud computing providers, and AI ecosystem partners.

Scientific & Technology Leadership

• Define and lead the next generation of AI methodologies for large-molecule drug discovery, including antibody engineering, multi-specific biologics, viral vector design, gene-editing systems, and cell therapy technologies.
• Architect proprietary AI platforms leveraging state-of-the-art technologies such as Mixture-of-Experts (MoE) models, Protein Language Models (PLMs), geometric deep learning, generative AI, reinforcement learning, and advanced reasoning architectures.
• Direct the design and evolution of scalable distributed training infrastructure capable of handling massive biological datasets and foundation model training.
• Personally lead critical technical initiatives involving algorithm development, model optimization, molecular generation, protein engineering, and computational platform innovation.

Dry-Lab / Wet-Lab Integration

• Establish a fully integrated “Design–Build–Test–Learn” loop that seamlessly connects computational prediction with high-throughput automated experimentation.
• Design closed-loop data generation systems enabling continuous model refinement through experimental feedback and active learning frameworks.
• Build a highly efficient collaboration model between AI scientists, computational biologists, protein engineers, and experimental biology teams.

Intellectual Property & Innovation

• Lead global intellectual property strategy covering proprietary algorithms, foundation models, platform technologies, and therapeutic candidates.
• Establish and protect a differentiated technology moat through patents, trade secrets, proprietary datasets, and unique model architectures.
• Drive scientific thought leadership through publications, conference presentations, and strategic industry engagement.

Required Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Artificial Intelligence, Computer Science, Structural Biology, Pharmaceutical Sciences, or a closely related discipline.
• Recognized industry authority with deep expertise in protein foundation models, antibody design, protein engineering, AI-enabled drug discovery, or large-scale AI infrastructure.
• Demonstrated success developing and applying advanced AI technologies to biologics discovery programs with tangible translational outcomes.
• Proven track record advancing one or more therapeutic programs to Preclinical Candidate (PCC), IND-enabling studies, clinical development, or equivalent milestones.
• Strong hands-on experience with modern AI frameworks such as PyTorch, JAX, TensorFlow, and large-scale distributed computing environments.
• Extensive familiarity with state-of-the-art computational biology platforms and tools, including AlphaFold-related ecosystems, ProteinMPNN, DiffAb, generative protein design frameworks, and structural biology technologies.
• Deep understanding of antibody discovery, biologics engineering, gene and cell therapy technologies, or viral vector development.
• Exceptional leadership capability with experience building and managing multidisciplinary teams spanning AI, computational biology, wet-lab research, platform engineering, and business functions.
• Outstanding communication and stakeholder management skills, with the ability to engage effectively with venture investors, pharmaceutical executives, scientific advisors, and research teams.
• Entrepreneurial mindset with strong resilience, strategic vision, and the ability to thrive in a highly ambitious, fast-paced startup environment.
• Prior founder, co-founder, CEO, CTO, CSO, or equivalent executive experience in biotechnology, AI drug discovery, or deep-tech ventures is highly preferred.

Why This Opportunity?

• Join as the founding leader and ultimate decision-maker with significant equity ownership and long-term value creation potential.
• Build a category-defining AI-native biologics platform from the ground up with substantial influence over scientific strategy, organization design, and company direction.
• Benefit from strong financial backing and strategic support from a premier hard-tech investment institution, providing early-stage capital confidence and extensive industry resources.
• Gain access to a unique ecosystem of investors, pharmaceutical partners, academic experts, and technology leaders to accelerate platform development and commercialization.
• Lead a mission-driven effort to transform the future of drug discovery through the convergence of artificial intelligence and biotechnology.