Teva - Head of Advanced analytics and AI

**Head of Advanced Analytics & Artificial Intelligence (AAAI) – Pharmaceutical R&D Innovation**
*Teva Pharmaceuticals | Global Leader in Generic Medicines | Transforming Drug Discovery with AI*

**About the Opportunity**
As Teva’s Head of AAAI, you will spearhead the strategic integration of artificial intelligence and machine learning across our global R&D pipeline, directly impacting the development of life-saving medications used by 200 million patients daily. This executive leadership position offers the unique opportunity to build and scale AI capabilities that accelerate the discovery, development, and delivery of essential medicines while shaping the future of pharmaceutical innovation.

**Key Responsibilities & Impact Areas**

**Strategic AI Leadership in Pharma R&D**
– Develop and execute a comprehensive AI/ML roadmap spanning:
– **Drug Discovery:** Transform antibody discovery through deep learning-powered target identification
– **CMC Optimization:** Revolutionize manufacturing processes with predictive analytics
– **Clinical Development:** Deploy AI for smarter trial design and patient stratification
– **Post-Market Surveillance:** Enhance pharmacovigilance with NLP-powered adverse event detection

**Cutting-Edge Technical Innovation**
– Architect state-of-the-art ML systems for:
– Multi-modal biological data integration (omics, imaging, EHR)
– Knowledge graph-powered drug repurposing
– Generative AI for molecular design
– Causal inference models for clinical outcomes

**Enterprise-Wide AI Transformation**
– Establish the AAAI Center of Excellence serving 60+ countries
– Forge strategic partnerships with:
– Leading AI biotech startups
– Academic medical centers
– Cloud/AI platform providers (AWS Health, NVIDIA Clara)
– Implement MLOps frameworks meeting stringent regulatory requirements

**Talent & Ecosystem Development**
– Build and mentor a world-class team of:
– Computational biologists
– Clinical ML engineers
– Pharma data scientists
– Create AI literacy programs across R&D functions
– Represent Teva in global AI/pharma consortia

**Qualifications & Experience**

**Technical Leadership Requirements**
– 10+ years progressive experience in:
– Applied AI/ML for life sciences (Python/R/TensorFlow/PyTorch)
– Big data architectures for biomedical research
– Leading cross-functional technical teams
– Advanced degree (Ph.D. preferred) in:
– Biomedical Data Science
– Computational Chemistry
– AI/ML with life sciences applications

**Pharma Industry Expertise**
– Deep understanding of:
– Drug development lifecycle (IND to NDA)
– Regulatory considerations for AI/ML (FDA/EMA)
– GxP-compliant analytics
– Proven track record of deploying AI solutions in:
– Target discovery
– Clinical trial optimization
– Real-world evidence generation

**Executive Leadership Competencies**
– Strategic vision for AI in generics space
– Stakeholder management across:
– C-suite executives
– Research scientists
– Regulatory affairs
– Commercial operations
– Startup partnership evaluation and management

**Why Join Teva’s AI Transformation?**

**Global Health Impact**
– Directly contribute to WHO Essential Medicines availability
– Shape AI strategy for the world’s largest generics manufacturer
– Improve medication access for 200M+ patients worldwide

**Cutting-Edge Environment**
– Work with:
– Petabyte-scale biomedical datasets
– NVIDIA DGX-powered research infrastructure
– Proprietary clinical trial data assets
– Pioneer regulatory-approved AI applications

**Career Growth**
– Executive visibility with board-level reporting
– Opportunity to:
– Publish in top journals (Nature Digital Medicine, JAMIA)
– Speak at global conferences (Bio-IT World, RSNA AI Summit)
– Shape industry standards for pharma AI

**Compensation & Benefits**
– Competitive executive compensation package
– Global mobility opportunities
– Comprehensive health/wellness programs
– Continuing education in emerging AI technologies

**Best Job Categories:**
1. **AI in Healthcare/Pharma (Executive Leadership)**
2. **Drug Discovery Innovation (AI/ML)**
3. **Clinical Data Science (Pharma R&D)**