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Research Computing Consultant Jobs (NOW HIRING)

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

Combining agentic AI, affective computing, and applied neuroscience to provide creators with ... Note that as an R&D group within a consulting company, the role involves a mix of future-facing ...

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Research Computing Consultant information

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How much do research computing consultant jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for research computing consultant in the United States is $39.38, according to ZipRecruiter salary data. Most workers in this role earn between $31.01 and $48.08 per hour, depending on experience, location, and employer.

How does a Research Computing Consultant typically collaborate with faculty and researchers on projects?

Research Computing Consultants often work closely with faculty, graduate students, and research staff to understand their computational needs and provide tailored solutions. This collaboration may include advising on high-performance computing resources, assisting with software selection, optimizing code, and offering training sessions. Consultants serve as a bridge between researchers and IT infrastructure, ensuring projects run efficiently and effectively. Regular meetings, workshops, and one-on-one consultations are common, fostering a collaborative environment where technical expertise supports innovative research.

What is the difference between Research Computing Consultant vs Research Software Engineer?

AspectResearch Computing ConsultantResearch Software Engineer
CredentialsTypically requires a degree in computer science, engineering, or related fields; certifications in HPC or data management are commonUsually holds a degree in computer science, software engineering, or related disciplines; experience with programming and software development certifications
Work EnvironmentCollaborates with researchers to optimize computing resources, provide technical support, and develop workflowsDevelops, tests, and maintains research software, often working closely with research teams on specific projects
Employer & Industry UsageFound in academic institutions, research labs, and government agencies supporting research infrastructureCommon in research institutions, universities, and industry R&D departments focusing on software development for research

While both roles support research through technical expertise, Research Computing Consultants focus on optimizing computing resources and support, whereas Research Software Engineers primarily develop and maintain research software. Both roles require strong technical skills and often overlap in research environments.

What are the key skills and qualifications needed to thrive as a Research Computing Consultant, and why are they important?

To thrive as a Research Computing Consultant, you need a strong background in computer science, data analysis, and scientific research methods, typically supported by a relevant degree. Familiarity with high-performance computing (HPC) systems, programming languages (such as Python or R), and research software platforms is essential. Excellent problem-solving skills, communication, and the ability to collaborate with researchers from diverse disciplines set top candidates apart. These skills ensure effective support for research projects, enabling scientists to leverage advanced computing resources and achieve impactful results.

What are Research Computing Consultants?

Research Computing Consultants are professionals who assist researchers in utilizing advanced computing resources, such as high-performance computing (HPC) clusters, software tools, and data management systems, to support their scientific and academic work. They provide expertise in areas like programming, data analysis, workflow optimization, and troubleshooting technical issues. Their role is to bridge the gap between research needs and available computing technologies, enabling researchers to conduct complex analyses more efficiently.
More about Research Computing Consultant jobs
What cities are hiring for Research Computing Consultant jobs? Cities with the most Research Computing Consultant job openings:
What states have the most Research Computing Consultant jobs? States with the most job openings for Research Computing Consultant jobs include:
Infographic showing various Research Computing Consultant job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, and 10% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $81,905 per year, or $39.4 per hour.

$145K - $165K/yr

Full-time

Medical, PTO

Posted 10 days ago


Job 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 highperformance computing (HPC) environment. In this role, you will design, deliver, and maintain handson deep learning and AI training programs that enable researchers and technical teams to apply modern AI techniques to complex, realworld scientific challenges. You will work in a fastpaced, highly collaborative environment alongside scientists, engineers, and system administrators, translating advanced concepts into practical, exampledriven 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 GPUenabled HPC systems in support of cuttingedge 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 handson deep learning and AI training sessions using realworld 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 GPUenabled 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 posttraining 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 handson experience developing and training deep learning models
  • Practical experience working in Linuxbased 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 largescale research computing environments and HPC workflows
  • Experience building reproducible training materials using tools such as Jupyter notebooks and Gitbased 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

Employment Type: FULL_TIME