Health GenAI & Multimodal Data Scientist

Danone; Singapore; On-site; SGD 120,000 - 150,000; Full time

Job summary

Danone in Singapore seeks a Health Data Scientist to advance GenAI and multimodal analytics across global teams. You will develop data assets and pipelines to support real-world and clinical health solutions and communicate insights to diverse stakeholders.

Ideal candidates bring deep learning, MLOps, and cloud experience, with 5+ years in healthcare data science and a proven track record in end-to-end machine learning lifecycles.

Qualifications

• Master’s or Ph.D. in a relevant technical discipline.
• Strong expertise in deep learning and proficiency with at least one leading deep learning framework.
• Experience developing and managing MLOps pipelines and end-to-end machine learning lifecycles.
• Hands-on experience with multimodal Generative AI technologies, including VAEs, GANs, diffusion models, ViT, Swin Transformer, LLMs, fine-tuning, LoRA, distillation, and vision-language models.
• Proven experience designing and implementing multi-agent systems, including memory architectures, vector databases, RAG, reasoning and planning agents, tool integration, agent orchestration frameworks, guardrails, RL, and automated evaluation mechanisms.
• Experience with Strands Agents and Agent Bricks is advantageous.
• Strong project management capabilities (scope, resources, timelines, success metrics).
• Familiarity with Agile methodologies (Scrum/Kanban) is desirable.
• Experience with cloud platforms, particularly AWS and/or Azure.
• At least 5 years of experience in Data Science within healthcare, life sciences, or digital health.

Responsibilities

• Lead development of GenAI and multimodal, multi-agent solutions for digital health tools.
• Design interactive analytical frameworks for governed analysis of real-world and clinical data.
• Establish robust testing and monitoring processes for generative and agentic systems.
• Communicate insights and recommendations to Danone and external partners.

Skills

Deep learning

MLOps

Multimodal AI

Generative AI

Communication to stakeholders

Project management

Agile methods (Scrum/Kanban)

Cloud platforms (AWS/Azure)

Data science in healthcare

Education

Master’s or Ph.D. in a relevant technical discipline

Tools

AWS

Azure

Vector databases

Vision Transformers (ViT)

Job description

Danone in Singapore seeks a Health Data Scientist to advance GenAI and multimodal analytics across global teams. You will develop data assets and pipelines to support real-world and clinical health solutions and communicate insights to diverse stakeholders.

Ideal candidates bring deep learning, MLOps, and cloud experience, with 5+ years in healthcare data science and a proven track record in end-to-end machine learning lifecycles.