לוח אפשרויות קריירה - הדרך החכמה להייטק

The opportunity
The Head of AAAI focuses on setting strategic directions, leading AI-driven initiatives and ensuring delivery and impact on Discovery, Non-clinical Development and Clinical Development of R&D and supporting other key AI/ML initiatives of the R&D organization. With their team the Head of AAAI also provides expertise and facilitates the adoption of new AI/ML technologies vetted for their utility in enhancing R&D efficiency. This role collaborates closely all R&D functions and their business partners to ensure that AI/ML technologies are effectively developed and integrated into the Discovery, Non-clinical Development, Clinical Development and Post Approval work, driving forward the innovation agenda and ensuring that all AI initiatives are aligned with the strategic R&D objectives.How you’ll spend your day
•    Strategic Leadership: Define and execute the vision, mission, strategy, and focus areas for Advanced Analytics, Machine Learning (ML), and Artificial Intelligence (AI) in R&D (for all development and lifecycle management stages), ensuing      alignment with overall company goals.•    Innovation Advancement: Actively identify areas where AI/ML can have a significant impact and lead the development and implementation of AI/ML solutions in antibody discovery, CMC, and non-clinical development.•    Algorithm Development: Able to develop cutting-edge ML algorithms that transform scientific, biological and clinical data to insights and tools. •    Technical Excellence: Provide technical direction, mentorship, and feedback to the team, staying abreast of technological advancements and the competitive landscape.•    Team Leadership: Inspire team members, build, lead and sustain a high-performing team culture, focused on proactive project delivery and impactful outcomes.•    Cross-function alignment: Establish and maintain relationships across R&D to enhance collaboration and integration.•    Infrastructure Oversight: Oversee and maintain a robust Advanced Analytics and Machine Learning infrastructure to support all operational needs.•    Technical Guidance: Act as the primary subject matter expert for AI/ML methodologies within the R&D organization. Provide advice and support to team members, ensuring the highest standards of data science are applied to pharmaceutical research and development.•    Innovation Assessment: Oversee evaluation and integration of pioneering AI/ML technologies and tools. Continually oversees assessment of the potential of new technologies and startups that could enhance the R&D capabilities of the organization.•    Strategic Partnerships: Identify and establish strategic collaborations with startups and technology partners to leverage external innovations and accelerate internal R&D projects.•    Integration: Work closely with other cross-functional teams, including IT,  to ensure seamless integration of AI technologies into the broader R&D processes.•    Education: Develop training programs to enhance the AI/ML skills of R&D personnel, ensuring that the team remains at the cutting edge of technological trends and applications in pharmaceuticals.•    Advocacy: Champion the adoption of AI/ML across the R&D organization. Drive initiatives to cultivate a culture that embraces data-driven decision-making and continuous innovation.