Model Assessment: Independently assess the scientific validity and architectural soundness of AI models, accurately pinpointing their genuine technological moats/barriers.
Technical Due Diligence: Benchmark models against cutting-edge global technical standards and deliver objective technical Due Diligence (DD) reports to provide a definitive technical basis for investment decisions.
Trend Tracking: Track the latest technological iterations and practical applications in the AIxBio (AI4Science) sector, regularly publishing tech-trend insights and investment roadmap reports.
Tool Development & Automation: Develop AI Agents and automation tool matrices based on cutting-edge LLMs tailored to internal workflows. Leverage technological solutions to drastically enhance the team's deal-sourcing efficiency and data processing capabilities.
【Qualifications】
Education: Master's degree or above in a rigorous STEM discipline (e.g., Computer Science, Artificial Intelligence, Machine Learning, Computational Biology, or related fields).
Experience: 3+ years of relevant industry experience.
Technical Foundations: Deep understanding of mainstream AI model architectures and solid fundamentals in Machine Learning (e.g., a profound grasp of training data pipelines, model design, loss functions, and underlying logic).
Hands-on Coding Ability: Proficient in utilizing and keeping pace with the latest LLM tools, with a proven ability to quickly master new technologies and independently execute code from concept to deployment.
Cross-Disciplinary Drive: Highly open to cross-disciplinary learning, with a strong willingness to actively acquire cutting-edge knowledge in the biomedical field.
Logical Acumen: Exceptionally logical thinker, capable of swiftly grasping the systemic essence of complex AI models.
Independent Judgment: Possess technical foresight and independent critical thinking. Must be highly intellectually honest with the courage to directly point out technical flaws or limitations in models and projects.
