OverviewPublicis 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
Additional information- Wellness program and employee assistance.
- Generous paid leave and holidays.
- Comprehensive health benefits for you and your family.
- Flexibility to support work-life balance.
- Competitive compensation and benefits package.
- Access to ongoing learning and development opportunities.
- An inclusive workplace that promotes diversity and collaboration.
Salary Range: $145,000 - $165,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
