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Research Computing Jobs (NOW HIRING)

Harvard University

Research Navigator

Cambridge, MA

$78.80K - $100.80K/yr

As a member of the Research Computing and Data Services (RCDS) team in Library and Research Services (LRS) at the Harvard Kennedy School (HKS) and reporting to the Director of Research Computing and ...

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How much do research computing jobs pay per hour?

As of May 31, 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 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 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.
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Research Computing jobs near you
Infographic showing various Research Computing job openings in the United States as of May 2026, with employment types broken down into 42% Full Time, and 58% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $46,222 per year, or $22.2 per hour.
Research Computing Cloud Engineer

Research Computing Cloud Engineer

Stanford University

Stanford, CA • On-site

$150.29K - $171.67K/yr

Full-time

Posted 25 days ago

Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

191st of 530 rated colleges and universities

Job description

*This is a 3-year fixed term position.
Position Overview
We are seeking a highly skilled Cloud Engineer to help build the next generation of Stanford's research computing environment. This role will work on multiple projects and you will design and implement scalable, secure cloud architectures that may include high-performance computing (HPC) and cutting-edge AI/ML workloads.
Key Responsibilities
  • Research, HPC & AI Infrastructure: Architect cloud-native and hybrid solutions for compute intensive workloads, such as AI training and genomics.
  • Cloud Bursting & Integration: Develop automated pipelines to "burst" workloads from on-premises HPC clusters to the cloud (AWS/GCP/Azure).
  • Technical Consulting, Implementation, and Maintenance: In collaboration with other campus, and cloud vendor based, experts provide guidance on the use of cloud technologies to support research - including cloud architecture, cost optimization, and performance tuning.

Education & Experience
  • Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience.
  • Degree in Computer Science, Engineering, or equivalent professional experience in a large-scale research computing environment or similar is preferred.

Qualifications
  • Cloud Expertise: Advanced experience with major cloud platforms: GCP, AWS or Azure
  • Compute Specialization: Hands-on experience with HPC job schedulers (e.g., Slurm) and/or GPU computing (CUDA, NVIDIA software stacks). Experience with cloud-bursting and/or integration of on-premise systems with cloud environments is a plus.
  • DevOps & Automation: Proficiency in Infrastructure as Code (Terraform, Ansible) and containerization (Docker, Kubernetes).
  • Data Movement: Experience with orchestration of data movement between on premise and cloud environments. Experience with Globus a plus.
  • Security & Compliance: Understanding of data privacy frameworks (HIPAA, CMMC) within a research context.

Physical Requirements*:
  • Constantly perform desk-based computer tasks.
  • Frequently sit, grasp lightly/fine manipulation.
  • Occasionally stand/walk, writing by hand.
  • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds.

* Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job.
Working Conditions:
  • May work extended hours, evenings, and weekends.

Work Standards:
  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, http://adminguide.stanford.edu.

The expected pay range for this position is $150,289 to $171,674 per annum.
Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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