Content Strategist responsible for storytelling and content strategy at Datasite. Collaborating cross - functionally to enhance brand positioning and audience engagement across digital platforms.
About the role
- Senior Scientist shaping the future of generative AI for content authoring in healthcare at Johnson & Johnson. Working with AI methodologies to develop innovative solutions for regulatory and scientific documentation.
Responsibilities
- Design and develop intelligent agent systems for regulatory and scientific content authoring, including writing, reviewing, editing, and refining documents based on guidelines and user input.
- Advance agent memory architectures and persistent knowledge retention to enable long-horizon reasoning and chain-of-thought grounding.
- Prototype and implement controls for hallucination, uncertainty quantification, and safe output generation.
- Build evaluation and benchmarking frameworks for GenAI-driven content authoring, including automated evaluation suites for prompts, models, and retrieval flows.
- Collaborate with regulatory writers, scientists, engineers, and IT teams to translate emerging AI methodologies into practical, production-ready solutions.
- Serve as an internal domain expert for GenAI Content Authoring specific agents’ systems, driving innovation and protocols across R&D.
- If required, contribute to interpretation and generation of figures and plots, demonstrating multimodal AI experience.
Requirements
- Master's degree in AI/ML, Computer Science, Engineering, Bioinformatics, or related field with 4+ years of hands-on experience in GenAI engineering.
- Hands-on experience with multi-agent frameworks such as LangGraph, DSPy, memO, or similar architectures.
- Strong proficiency in Python and modern deep-learning frameworks (PyTorch, TensorFlow).
- Experience building retrieval-augmented generation (RAG) systems, including chunking, embeddings, vector databases, and reranking.
- Knowledge of advanced mathematical concepts such as uncertainty quantification, probabilistic modelling, or information theory.
- Experience implementing structured generation, schema enforcement, and model/tool orchestration for complex workflows.
- Positive, motivated, collaborative approach with the ability to work independently and within a multidisciplinary environment.
Benefits
- Health insurance
- Professional development opportunities
Job title
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