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. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value.