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Research Computing Jobs (NOW HIRING)

Recognizes new advanced research computing resources by engaging in outreach across the university and nationally to give research at UAB a competitive advantage. This position is a member of the UAB ...

New

$68K - $113K/yr

POSITION SPECIFICS We are seeking a motivated, self-starting Research Computing Software Engineer to join our Cloud Technology Advancement Department in the Applied Research Laboratory (ARL) at Penn ...

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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 the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 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 cities are hiring for Research Computing jobs? Cities with the most Research Computing job openings:
What are the most commonly searched types of Research Computing jobs? The most popular types of Research Computing jobs are:
What states have the most Research Computing jobs? States with the most job openings for Research Computing jobs include:
Infographic showing various Research Computing job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.
Associate Vice President, Research Computing and Data - Office of the Vice President for Research (O

Associate Vice President, Research Computing and Data - Office of the Vice President for Research (O

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted just now


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

56th of 553 rated colleges and universities


Job description

Job Summary:
Carnegie Mellon University (CMU), a global leader in research and innovation, invites candidates to apply for the newly created role of Associate Vice President for Research Computing and Data (AVP RCD). This role offers a unique opportunity to elevate and transform CMU’s research computing ecosystem, fostering collaboration and enabling leading-edge innovation across the university’s research enterprise.
Responsibilities:
• Define and execute a university-wide vision for leadership-class research computing and data that aligns with CMU's mission and strategic goals as a world-leading computing and AI university.
• Expand upon scalable, sustainable models for service delivery, funding, and resourcing.
• Define CMU’s engagement with Pittsburgh Supercomputing Center in terms of complementary investments and synergies.
• Represent the university in national and international research computing communities, such as the Campus Research Computing Consortium.
• Partner with the Office of Government Relations in engaging with local, state, and federal officials, and Business Engagement Center to expand strategic industry partnerships.
• Lead the expansion of CMU research computing to best-in-class levels, including advanced capabilities in cloud integration and specialized hardware utilization.
• Develop a roadmap for translational computing that fosters innovative architectures and services that may be scaled across CMU researchers and, potentially, beyond the immediate CMU ecosystem.
• Oversee the deployment of emerging technologies such as AI accelerators and machine learning frameworks, advanced engineering platforms, and next-gen physics simulations capabilities.
• Partner with external organizations and vendors to bring cutting-edge solutions to campus.
• Ensure the security, reliability, and scalability of research computing infrastructure to meet the demands of current and future research.
• Optimize a multi-year approach to balancing on-premises resources and cloud resources with attention to all factors and ramifications of the approach including sustainability.
• Continue to develop cyberinfrastructure suited to researchers across all of CMU.
• Lead the design, build-out, and operational maturation of controlled research data and computing environments across cloud and on-premises platforms, including the policies, technical safeguards, service models, and cross-campus coordination required to support compliant research at scale.
• Act as the primary liaison for research computing and data across CMU’s colleges, ensuring alignment with and engagement across diverse disciplinary needs.
• Actively participate in the development of competitive proposals for external funding opportunities.
• Consult with stakeholders across the university and with partners at PSC to develop an operating model for leadership-class computing resources that enshrines a strategic and equitable approach to ongoing development and refresh, access and utilization, funding model, and user policy.
• Collaborate with university stakeholders to identify emerging trends and technologies in research computing and data; develop strategies to leverage new technologies for research capabilities.
• Establish and maintain user support mechanisms to assist researchers in effectively utilizing the research-computing resource.
• Build the capacity to support research involving controlled/restricted data. Ensure CMU adapts and responds to changing regulatory paradigms and competes for funding across a broad spectrum of regulated/restricted research.
• Collaborate with the Information Security Office and Research Security Office to develop and implement policies and procedures governing the use of research computing resources, ensuring the infrastructure meets stringent security and compliance standards.
• Collaborate with campus stakeholders to develop a data collection management and governance structure that supports faculty and researchers by providing data collection services and consulting across the full data lifecycle—from creation to long-term preservation and access, including protected health data and other forms of controlled data.
• Ensure the application of best practices in data management and sharing, including promoting the adoption of the Findability, Accessibility, Interoperability, and Reusability (FAIR) principles to enhance the transparency and accessibility of scientific results.
• Work closely with academic leaders, faculty, and administrative offices to ensure research computing partnerships align with internal capabilities and enhance the University’s reputation and reach.
• Build effective internal communication channels as well as resources that help faculty and staff identify, pursue, and manage partnership opportunities.
• Represent the University externally at conferences, corporate, or industry forums to position CMU as a preferred partner in research, innovation, and societal impact.
• Build, supervise, and mentor a team of research computing professionals; promote a collaborative and service-oriented culture.
• Serve as a key connector between internal and external stakeholders, fostering trust, transparency, and shared success in all internal and external partnership activities.
Qualifications:
Required:
• Master’s degree
• 10 or more years of experience in research computing
• Proven management and strategic leadership skills
• Exemplary communication skills to lead research computing development and coordination across the university’s colleges and programs
• Entrepreneurial domain expert with a combination of vision, organizational savvy, skill in generating resources and leading change
• Emotional intelligence to build partnerships and create alignment across organizational boundaries
• Successful pre-employment background check
• Applicants must be currently legally authorized to work for CMU in the United States
• CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity
• Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.
Preferred:
• PhD preferred
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Company:
Carnegie Mellon University founder Andrew Carnegie said: "My heart is in the work."​ No statement better captures the passion and drive of our people to make a real difference. Founded in 1905, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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