Senior Associate HPC AI Scientist

Publicis Sapient is looking for an AI Scientist & Training Specialist to support advanced AI and machine learning initiatives within a large-scale high‑performance computing (HPC) environment. In this role, you will design, deliver, and maintain hands‑on deep learning and AI training programs that enable researchers and technical teams to apply modern AI techniques to complex, real‑world scientific challenges. You will work in a fast‑paced, highly collaborative environment alongside scientists, engineers, and system administrators, translating advanced concepts into practical, example‑driven learning experiences. This role blends deep technical expertise with a passion for teaching and knowledge sharing. You will help empower researchers and technical professionals by equipping them with the skills and confidence to leverage AI, deep learning, and GPU‑enabled HPC systems in support of cutting‑edge scientific discovery. Your work will directly influence how advanced computational tools are adopted and applied across biomedical and life sciences research.

Responsibilities

• Design and deliver hands‑on deep learning and AI training sessions using real‑world scientific and biomedical datasets
• Develop, maintain, and continuously improve training materials, including notebooks, scripts, exercises, and technical documentation
• Teach core deep learning concepts such as neural networks, convolutional neural networks (CNNs), model training, optimization, and evaluation
• Support and instruct on the use of modern deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) in GPU‑enabled HPC environments
• Guide users on best practices for running AI workloads on shared HPC systems, including job scheduling, performance optimization, and resource utilization
• Collaborate with HPC and scientific computing teams to ensure training content aligns with current infrastructure, policies, and tools
• Provide post‑training support through office hours, troubleshooting, and consultation for ongoing research projects
• Keep training curricula current with advances in AI, deep learning tooling, and evolving research priorities

Qualifications

• Advanced degree (PhD or MD) in Computer Science, Data Science, Computational Biology, Bioinformatics, or a related discipline
• Strong hands‑on experience developing and training deep learning models
• Practical experience working in Linux‑based HPC environments, including GPU computing
• Demonstrated experience delivering technical training, workshops, or instructional content to scientific or technical audiences
• Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

Preferred Experience

• Experience supporting biomedical, life sciences, or federally funded research initiatives
• Familiarity with large‑scale research computing environments and HPC workflows
• Experience building reproducible training materials using tools such as Jupyter notebooks and Git‑based repositories
• Knowledge of data management, security, and compliance considerations in regulated research environments