Executive Director, R&D Artificial Intelligence and Machine Learning
5 days ago
General Description: Establish and manage a team of AI experts, which will serve as the strategic backbone to lead AI strategic direction and drive AI adoption within R&D Provide expert consultation, and guide operational teams on AI/ML-related technical frameworks, methodologies, and emerging technologies Key Roles & Responsibilities: Strategic Leadership: Develop data strategy and drive AI adoption for BeiGene R&D, aligning with the R&D data excellence vision and objectives. Stay abreast of the latest advancements and trends in AI, ML, and data science to ensure BeiGene R&D equipped with the cutting edge technology. Collaborate with senior leadership to identify and prioritize key areas within BeiGene R&D where AI and data science can drive significant improvements. AI/ML Consultation and Expertise: Serve as the primary point of contact for AI/ML-related inquiries and strategic guidance within the R&D department. Serve as expert consultation on technical strategy, AI/ML frameworks, methodologies, and guide team on advanced AI techniques such as prompting engineering, retrieval-augmented generation (RAG), fine-tuning, and other cutting-edge technologies. Team Establishment and Management: Establish and lead a high-performing team of AI and data science experts. Foster a culture of innovation, continuous learning, and collaboration within GSDS team and across R&D business functions. Collaboration and Cross-Functional Integration: Work closely with cross-functional teams within R&D and BeiGene GTS to ensure seamless integration of AI into BeiGene infrastructures and empower BeiGene business operations. Collaborate with external partners, academic institutions, and industry consortia to leverage external expertise and resources. Governance and Compliance: Ensure all AI and data initiatives comply with regulatory requirements Qualifications Requirement: Ph.D. or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience in pharmaceutical R&D or biotech industry is a plus. Minimum of 8+ years of experience in AI, data science, or related fields. Full stack experience and proven track record of developing and implementing AI strategies. Knowledge of prompting engineering, retrieval-augmented generation (RAG), fine-tuning and other advanced AI techniques. Experience in leading and managing high-performing teams. Strong strategic thinking skills with the ability to align AI initiatives with organizational goals. Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Strong interpersonal skills with the ability to collaborate effectively across different departments and functions. Passion for innovation and staying updated with the latest trends and advancements in AI and data science. Creative problem-solving abilities with a proactive approach to identifying and addressing challenges. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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