BioNTech is looking to establish and scale its generative AI capabilities to support its upcoming global Oncology launches, and drive transformational impact in commercial operations.
Requirements
- 8+ years of experience in AI/ML, with at least 3+ years in Generative AI-focused roles.
- Expertise across multiple generative AI domains, including RAG, fine-tuning, LLM orchestration, prompt engineering, and agent-based architectures required.
- Proven track record of deploying LLMs in enterprise/commercial settings, with measurable business outcomes.
- Strong programming background (Python required) and familiarity with ML/LLM frameworks.
- Experience with pharma commercial data (launches, next-best action, RWE) strongly preferred.
- Advanced degree (Masters or PhD) in Computer Science, AI/ML, or related field preferred.
- Familiarity with ML/LLM frameworks
Responsibilities
- Define and execute BioNTech’s generative AI strategy, roadmap, and governance across commercial functions.
- Design and implement enterprise-grade generative AI solutions, including Retrieval-Augmented Generation (RAG) for knowledge management and customer support.
- Fine-tuning and domain adaptation of LLMs for pharma/oncology use cases.
- Prompt engineering and optimization frameworks.
- Agentic architectures for workflow automation.
- Build and maintain a library of generative AI use cases across marketing, sales, market access, and medical affairs.
- Monitor KPIs, ROI, and solution performance to ensure ongoing operational success.
Other
- Demonstrated ability to lead cross-functional teams, manage vendors/partners, and deliver at scale.
- Strong executive presence with the ability to translate technical capabilities into business value for senior leadership.
- Advanced degree (Masters or PhD) in Computer Science, AI/ML, or related field preferred.
- Ability to work in New Jersey, US location
- Background check will be conducted as part of the recruitment process
