Head of Advanced analytics and AI

Date: Jun 11, 2025

Location:

Netanya, Israel, 0000000

Company: Teva Pharmaceuticals

Job Id: 61970

Who we are

Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.

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 his 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.

Your experience and qualifications

• M.Sc./Ph.D. Degree in Data Science, Machine Learning, Computer Science, Biomedical Engineering or equivalent required.
• Minimum 8 years of applied technical experience in advanced analytics and AI/ML, expert understanding of Big Data, pattern recognition, machine learning and deep learning; strong working knowledge of scripting and programming languages relevant for data science, such as Python, and R.; and extensive experience in applying AI/ML pharma R&D work.
• Minimum of 5 years of experience in leading teams, with a demonstrated ability to lead the development and delivery of AI/ML solutions in the biomedical field.
• Exceptional leadership skills, with the ability to influence and collaborate effectively with stakeholders.
• Ability to think strategically and translate AI/ML capabilities into tangible R&D outcomes that align with business goals.
• Strong preference for candidates with pharmaceutical industry experience, and familiarity with drug R&D processes. Understanding of the broader pharmaceutical and biotechnology landscapes, with an enthusiasm for advancing AI/ML applications within these fields.
• Ability to address complex problems with innovative solutions, employ state-of-the-art tools and best practices.
• Proven track record in identifying, evaluating, and integrating innovative technologies into business processes. Experience in partnering with startups and external technology providers.
• Exceptional communication skills, capable of effectively articulating complex technical concepts to non-technical stakeholders and senior management.
• Excellent analytical and problem-solving skills, with a creative mindset to overcome challenges.
• Fluent in English.

Reports To

SVP, Head of Global Early Clinical Development

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