Apply on Employer Site

BioNTech SE · 2 weeks ago

Associate Director / Director, Global Generative AI

Berkeley Heights, NJ

Full-time

Onsite

Senior Level, Lead/Staff, Director/Executive

$150K/yr - $200K/yr

8+ years exp

BioNTech SE is a leading biotechnology company focused on innovative therapies. The Associate Director / Director, Global Generative AI will establish and scale the company's generative AI capabilities to support global Oncology launches, driving the vision and deployment of AI solutions across commercial functions.

Health Care

Responsibilities

Define and execute BioNTech’s generative AI strategy, roadmap, and governance across commercial functions

Design and implement enterprise-grade generative AI solutions (mandatory), 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

Ensure compliance with the evolving regulatory landscape for generative AI in healthcare

Drive large-scale adoption and change management, ensuring strong business impact and user satisfaction

Partner with global commercial teams, affiliates (US, Germany, etc.), IT, and senior leadership to align generative AI initiatives with strategic business needs

Monitor KPIs, ROI, and solution performance to ensure ongoing operational success

Serve as BioNTech’s thought leader in generative AI, advising executives and influencing the company’s AI innovation agenda

Qualification

Generative AI expertiseLarge Language Models (LLMs)Python programmingRAG implementationFine-tuning LLMsPrompt engineeringAgent-based architecturesPharma commercial dataExecutive presenceCross-functional team leadership

Required

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

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