
Healthcare Insurance • Biotechnology • Pharmaceuticals
Red Nucleus is a company specializing in healthcare and life sciences services, offering a wide range of advisory and scientific services. With over three decades of experience, they provide solutions across the life sciences product life cycle, aiming to improve health outcomes. Their services include market access and commercialization, medical communications, and learning and development. Red Nucleus also offers products like DirectusPRO and iTakeControl. They focus on supporting strategic and operational challenges in healthcare through their expertise in areas like Quality, Clinical, Safety, Regulatory, and Medical Affairs. The company employs a team of over 700 members dedicated to advancing knowledge and improving lives.
October 17

Healthcare Insurance • Biotechnology • Pharmaceuticals
Red Nucleus is a company specializing in healthcare and life sciences services, offering a wide range of advisory and scientific services. With over three decades of experience, they provide solutions across the life sciences product life cycle, aiming to improve health outcomes. Their services include market access and commercialization, medical communications, and learning and development. Red Nucleus also offers products like DirectusPRO and iTakeControl. They focus on supporting strategic and operational challenges in healthcare through their expertise in areas like Quality, Clinical, Safety, Regulatory, and Medical Affairs. The company employs a team of over 700 members dedicated to advancing knowledge and improving lives.
• Conduct advanced research into new AI/ML/DL/transformer-based models, frameworks, and techniques, staying abreast of academic and industry advances. • Prepare proof-of-concepts (POCs) to validate new AI features or solution ideas. • Design, implement, fine-tune, and deploy AI models; integrate external open source frameworks (e.g. Hugging Face, LangChain) for model/agentic workflows. • Develop agentic AI systems: build modular, stateful, multi-agent workflows using frameworks such as LangChain, LangGraph, LlamaIndex, etc. • Architect scalable, robust, and modular systems for AI agents, ensuring performance, maintainability, and observability in distributed environments. • Develop evaluation metrics, logging/tracing/monitoring strategies for agents to ensure reliable performance, error detection, continuous improvement. • Build and maintain data pipelines in conjunction with data engineering team: data collection, preprocessing, feature engineering, cleaning / normalization / augmentation. • Analyze proprietary / internal datasets and domain-specific datasets (healthcare, finance, etc.) for model training and insight generation. • Collaborate with product, engineering, and business stakeholders to translate research outputs into production-ready components or product features. • Document methodologies, assumptions, limitations, and ensure reproducibility, governance, and ethical use of AI solutions.
• Bachelor’s or Master’s degree in a technical or quantitative field (e.g. Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Engineering). • 2-5 years of hands-on experience in AI/ML/DL model development, fine-tuning, and deployment. • Proven experience using Python extensively for AI development; familiarity with key AI/ML/DL libraries and frameworks. • Experience with LLMs, prompt engineering (few-shot, chain-of-thought, etc.), open source model integrations. • Experience in building agentic AI or multi-agent workflows, and with agent frameworks like LangChain / LlamaIndex etc. • Background in data pipelines: preprocessing, feature engineering, ingestion of both structured and unstructured data.
• Competitive pay, incentives, income security programs. • Comprehensive benefits and wellness programs focused on healthy lifestyles. • Flexible work arrangements and remote working. • Performance-driven environment including professional development and growth opportunities. • People-first culture fostering self-expression, diversity, and a growth mindset. • Celebrations – we love to celebrate team milestones, innovation wins, diversity and inclusion, and other moments that bring us together.
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