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Research Computing Jobs in Michigan (NOW HIRING)

Zifo

GxP Lab Computing Analyst

Wyandotte, MI · On-site

The Zifo Lab Computing Analyst provides technical laboratory services, including multivendor ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

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How much do research computing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for research computing in Michigan is $19.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $20.72 per hour, depending on experience, location, and employer.

What is research computing?

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 does someone working in research computing do?

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 are the key skills and qualifications needed to thrive in research computing?

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 popular job titles related to Research Computing jobs in Michigan?

For Research Computing jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Research Computing jobs in Michigan look for?

The top searched job categories for Research Computing jobs in Michigan are:

Research Computing jobs near you
Infographic showing various Research Computing job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $40,286 per year, or $19.4 per hour.

HPC Assistant Director

Ann Arbor, MI • On-site

University of Michigan
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Michiganexternal

$145K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

University Of Michigan rating

8.0

Company rating: 8.0 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

Job description

How to Apply
A cover letter and resume are important submissions for the hiring team to get a sense of your experience. In the cover letter, in one page or less, please let us know how this role aligns with your career aspirations and skills. Submit both a cover letter and resume as one file.
Salary will be commensurate with the selected candidate's qualifications, experience, and education.
Job Summary
Information and Technology Services (ITS) at the University of Michigan has an exciting opportunity for an HPC Assistant Director to lead the people, services, and systems that support large-scale research computing across the University, including regulated and researcher-owned environments. This is primarily a managerial and service-leadership role, accountable for team development, strategic and operational planning, and the availability, reliability, security, performance, capacity, and lifecycle of HPC services. The Assistant Director will work in close partnership with the HPC Technical Lead, who serves as the principal technical advisor and leads HPC architecture and technical direction. The successful candidate does not need to be the team's foremost technical expert but must have sufficient understanding of Linux, HPC clusters, networking, and storage to evaluate recommendations, ask informed questions, weigh risks and tradeoffs, and make sound operational and organizational decisions. This position also leads major incident response, establishes operational priorities and policies, defines requirements for significant procurements, and builds partnerships across ITS and the University. The successful candidate will bring a strong commitment to developing staff and enabling research, scholarship, and discovery.
The HPC Assistant Director will report to the Director of ITS-Advanced Research Computing.
Responsibilities*
You will provide strategic and operational leadership for the team responsible for designing, building, and operating the University's high-performance computing (HPC) environments. Key responsibilities include:
  • Collaborate with the broader Advanced Research Computing (ARC) leadership team to develop and execute University-wide research computing strategies, service roadmaps, and investment priorities.
  • Lead, manage, and develop a team of HPC and Linux professionals by setting clear expectations, providing coaching and feedback, supporting professional growth, and fostering an inclusive, collaborative, and accountable team culture.
  • Plan and prioritize the team's work across infrastructure projects, system maintenance, security, technical debt, and operational support; allocate resources, manage dependencies and risks, and ensure reliable delivery aligned with ARC strategy and researcher needs.
  • Develop and implement operational policies, standards, automation, metrics, and service-management practices that improve reliability, sustainability, user experience, and efficient use of University resources. Use meaningful service and capacity metrics to inform operational decisions and long-term investments.
  • Own the operational health and lifecycle of ARC's HPC services, establishing expectations for availability, reliability, security, performance, capacity, supportability, observability, continuity, and disaster recovery.
  • Lead the response to significant service disruptions, security events, and other production issues by coordinating technical teams, establishing priorities, assessing risk and service impact, communicating with stakeholders, and ensuring remediation and follow-through in accordance with the ITS major incident process.
  • Engage researchers, other ITS units (e.g. data centers and networking), unit IT organizations, and the broader research IT community to understand evolving needs, translate requirements into technical and service capabilities, and establish clear expectations about feasible solutions.
  • Develop sustainable financial and service-delivery models for HPC services, including cost projections, capacity planning, recharge rates, lifecycle investments, and funding strategies, in collaboration with the ARC director.
  • Build strong relationships with peers across the One ITS ecosystem to advance shared priorities, foster collaboration, and contribute to ITS areas of focus.
  • Monitor trends in computing technologies, research workflows, cybersecurity, data management, and artificial intelligence to guide the evolution of HPC services and architecture.
  • Represent the University in the national research computing ecosystem by engaging with other universities, national laboratories, professional communities, vendors, and software developers.
  • Apply insights from external partnerships and industry developments to identify emerging opportunities, anticipate shifts in research computing, and adopt relevant best practices.
  • Communicate strategy, priorities, risks, and resource needs effectively to technical teams, researchers, institutional leaders, and other stakeholders.
  • Establish a close and trusted partnership with the HPC Technical Lead, who serves as the principal technical advisor and leads HPC architecture and technical direction. Empower the Technical Lead to exercise appropriate technical authority while retaining managerial and service accountability for priorities, resources, risk, and outcomes.
  • In partnership with the HPC Technical Lead and appropriate security and compliance offices, provide oversight for the design, operation, and continuous improvement of research computing environments that process or store regulated, restricted, or otherwise sensitive information, including CUI, export-controlled information, NIH restricted data, and PHI. Ensure these environments comply with applicable laws, contractual obligations, security frameworks, technology control plans, and institutional policies, which may include HIPAA, CMMC, NIST SP 800-171 Revision 2, NIST SP 800-171 Revision 3, ITAR, EAR, and 10 CFR Part 810.
  • Lead HPC infrastructure lifecycle planning and major procurements, including RFP requirements development and evaluation, vendor selection, capacity forecasting, and coordination of data-center space, power, cooling, networking, and support requirements. Maintain strategic vendor relationships and awareness of technology roadmaps.

Required Qualifications*
  • The selected candidate must be able to obtain and maintain all access authorizations required for assigned duties under applicable U.S. export-control laws, institutional technology control plans, and U-M Standard DS-04. Eligibility will be assessed individually in coordination with the appropriate U-M compliance offices.
  • Bachelor's degree in computer science, engineering, or a related field, or an equivalent combination of education and experience.
  • At least seven years of experience in research computing or a closely related technical environment, including at least five years supporting, operating, or leading services based on production Linux systems.
  • At least one year of experience supervising staff or serving in a sustained technical or team leadership role. Experience should include mentoring staff, coordinating and prioritizing work, guiding team decisions, and assuming broader leadership responsibilities when needed.
  • Experience working in an academic research environment and demonstrated understanding of researchers' computing and data needs.
  • Sufficient technical understanding of Linux-based HPC environments-including clusters, workload scheduling, storage, networking and high-speed fabrics, automation, and monitoring - to evaluate recommendations, ask informed questions, assess risks and tradeoffs, and make sound operational decisions.
  • Demonstrated ability to lead through partnership with senior technical experts, including delegating appropriate technical authority, respecting technical ownership, and integrating technical recommendations with operational, organizational, financial, and compliance considerations.
  • Familiarity with, or demonstrated ability to learn, requirements for environments that process regulated, restricted, or sensitive information, such as PHI, CUI, human-subject research data, and export-controlled information, with support from appropriate security and compliance offices.
  • Demonstrated ability to prioritize and coordinate multiple projects and operational needs, manage dependencies and risks, and make decisions in a complex service environment.
  • Strong written, verbal, and presentation skills, including the ability to communicate technical risks, options, and recommendations to researchers, technical staff, and organizational leaders.
  • Demonstrated ability to work independently and collaboratively across the HPC team, ARC, ITS, and the broader University community.

Desired Qualifications*
  • Demonstrated experience applying security or compliance requirements to environments that process PHI, CUI, export-controlled information, or other regulated research data.
  • Experience with formal people-management responsibilities, such as recruiting, performance management, coaching, career development, resource planning, and addressing employee-relations matters.
  • Significant experience partnering directly with faculty and other members of the academic research community.
  • Existing relationships in national organizations such as CASC, CaRCC, Midwest Research Computing, Campus Champions, XSEDE/Access-CI, Women in HPC, etc.
  • Experience developing technical requirements and managing procurements or RFPs for HPC systems, infrastructure, or vendor services.
  • Hands-on technical experience with Linux automation and deployment (e.g., Ansible, Salt, Puppet, etc.)
  • Deep technical expertise in one or more areas of HPC architecture and operations, such as workload scheduling, parallel file systems, high-speed networking for MPI, monitoring, AI infrastructure, or large-scale system deployment
  • Familiarity with data-center space, power, cooling, and capacity planning, including air- and liquid-cooled systems
  • Experience using scripting, programming, data-analysis, or version-control tools such as Python, SQL, Bash, and Git
  • Experience with cloud environments for research (Verge.io, OpenStack, AWS, GCP, Azure, etc.)
  • Demonstrated as AI-forward for automating work, streamlining work, and facilitating adoption where appropriate to benefit the team

Why Work at Michigan?
In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:
  • Generous time off
  • A retirement plan that provides two-for-one matching contributions with immediate vesting
  • Many choices for comprehensive health insurance
  • Life insurance
  • Long-term disability coverage
  • Flexible spending accounts for healthcare and dependent care expenses
  • Dental and Vision Insurance
  • Parental and Maternity Leave

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Work Locations
This role is remote but will require periodic in-person obligations generally scheduled in advance and may span multiple days. Candidates should reside within approximately one hour's drive of Ann Arbor.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
282481
Working Title
HPC Assistant Director
Job Title
ERP Project Manager
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Hybrid
Mobile/Remote
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Its Institutional
Department
ITS ARC Advanced Research Comp
Posting Begin/End Date
8/31/2026 - 9/14/2026
Salary
$145,000.00 - $160,000.00
Career Interest
Information Technology

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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