Senior Associate HPC AI Scientist at 7NXT Health Group

Arlington, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Sep, 26

Salary

165000.0

Posted On

17 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, AI Training, HPC Environments, PyTorch, TensorFlow, Keras, GPU Computing, Linux, Neural Networks, CNNs, Job Scheduling, Performance Optimization, Technical Instruction, Biomedical Data Analysis, Jupyter Notebooks, Git

Industry

Description

Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. 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. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com Overview 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 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. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

Responsibilities

Design and deliver hands-on AI and deep learning training programs for researchers using scientific and biomedical datasets. Collaborate with HPC teams to optimize AI workloads and maintain technical documentation and curricula.