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How much do research computing jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for research computing in California is $21.93, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $23.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Research Computing position, and why are they important?

To excel in Research Computing, a strong background in computer science, data analysis, and scientific research methodologies is essential, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing (HPC) systems, cluster management tools, programming languages (such as Python, R, or C++), and certifications in cloud platforms or data science are commonly required. Effective problem-solving, collaboration, and communication skills help professionals work closely with researchers and interdisciplinary teams. These skills and qualities are crucial for supporting complex computational research, ensuring efficient system use, and driving innovation in scientific discovery.

What are the typical day-to-day responsibilities of someone working in Research Computing?

In a Research Computing role, you will often support researchers by managing and optimizing access to high-performance computing resources, troubleshooting technical issues, and assisting with the setup of specialized software or tools. You may also help develop computational workflows, maintain data storage systems, and guide users on best practices for maximizing resource efficiency. Collaboration with scientists, faculty, and IT staff is common, as you play a key role in enabling advanced research projects. This hands-on, problem-solving environment provides opportunities to learn new technologies and contribute directly to impactful scientific work.

What is a Research Computing job?

A Research Computing job involves supporting computational and data-intensive research by providing expertise in high-performance computing (HPC), data management, software development, and cloud technologies. Professionals in this field work closely with researchers to optimize code, manage large datasets, and ensure efficient use of computing resources. They may also develop and maintain computing infrastructure, troubleshoot technical issues, and assist with grant proposals requiring specialized computing capabilities.

What are the most commonly searched types of Research Computing jobs in California? The most popular types of Research Computing jobs in California are:
What are popular job titles related to Research Computing jobs in California? For Research Computing jobs in California, the most frequently searched job titles are:
What job categories do people searching Research Computing jobs in California look for? The top searched job categories for Research Computing jobs in California are:
Research Computing jobs near you
Infographic showing various Research Computing job openings in California as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,616 per year, or $21.9 per hour.
Research Computing Capacity Program Manager

Research Computing Capacity Program Manager

Stanford University

Stanford, CA • On-site

Full-time

Posted 7 days ago

Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

200th of 553 rated colleges and universities

Job description

Job Summary:
Stanford University is seeking a Research Computing Capacity Program Manager to lead the strategic coordination of the Research Computing Capacity Planning Project. The role involves managing program activities, coordinating between various teams, and ensuring the growth of Stanford's research computing capabilities.
Responsibilities:
• Manage the transition of researchers to optimized platforms through the administration of incentive programs and resource allocation in collaboration with project leadership and technology providers.
• Assist in defining and launching new cloud service offerings, translating researcher needs into actionable agreements and services.
• Participate as a member of the Capacity Program leads team Act as a primary point of contact for the Research Computing Capacity Planning project and provide coordination across all assigned components of the project.
• Assist in the development and presentation of regular progress updates to SRC and University leadership.
• Report to campus stakeholders and the program teams on a regular basis.
• Collaborate closely throughout with the SRC researcher-facing, system administration and storage teams to ensure solutions are meeting the needs of the research team.
Qualifications:
Required:
• Bachelor's degree and five years of relevant experience or a combination of education and relevant experience.
• Proven experience in technical program or project management within a complex academic, or similar, environment
• Familiarity with data center operations and/or large-scale research computing infrastructure
• Knowledge or experience with the top cloud service offerings on the market today
• Ability to navigate procurement processes and vendor management
• Excellent communication skills to bridge the gap between technical engineers and research teams; strong interpersonal skills for effective collaboration with a diverse group of stakeholders, including senior researchers
Company:
Stanford is a place of discovery, creativity and innovation located in the San Francisco Bay Area on the ancestral land of the Muwekma Ohlone Tribe. Founded in 2008, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

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