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Ucla Research Jobs (NOW HIRING)

Staff Research Associate 2

Los Angeles, CA ยท On-site

$31.23 - $50.24/hr

... UCLA Department of Molecular and Medical Pharmacology is seeking a Staff Research Associate 2 to ... support thee Translational Imaging Division and its multidisciplinary cancer research programs.

In addition, UCLA fellows will participate in Transfusion Medicine-based research and develop expertise in evaluating and implementing new techniques and laboratory procedures. Upon completion of our ...

... research, produces significant advances in the treatment of pediatric disease, and trains the next generation of highly accomplished surgeons. The program is based on the campus of UCLA in Westwood ...

Senior Director of Development

Los Angeles, CA ยท On-site

$8.8K - $19K/mo

As one of six major research themes within UCLA Health, the goal of UCLA Health JCCC is to develop and foster visible concentrations of excellence in basic and interdisciplinary cancer research and ...

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Ucla Research information

What are UCLA Research positions?

UCLA Research positions refer to jobs at the University of California, Los Angeles (UCLA) that involve conducting academic or scientific research in various fields such as medicine, engineering, social sciences, and more. These roles may be available to students, postdoctoral scholars, faculty, or staff, and can include laboratory work, data analysis, literature reviews, and project management. UCLA is renowned for its research programs, offering opportunities to contribute to groundbreaking discoveries and innovations. Individuals in these roles typically work under the guidance of principal investigators or faculty members, and may be involved in publishing results or presenting at conferences.

What is the difference between Ucla Research vs Research Assistant?

AspectUcla ResearchResearch Assistant
Required CredentialsTypically requires a relevant bachelor's or master's degree, sometimes advanced coursework or specific research experienceUsually requires a bachelor's degree or current student status; some roles may need specific coursework
Work EnvironmentAcademic research labs, university settings, collaborative projectsUniversity labs, research centers, academic institutions
Employer & Industry UsageUCLA research projects, academic institutions, government grantsUniversities, research institutes, academic departments
Common Search & ComparisonYesYes

Ucla Research typically refers to involvement in research projects conducted at UCLA, often requiring advanced education or specific experience. Research Assistants support these projects, usually with a bachelor's degree or current student status. Both roles are integral to academic research environments, with Ucla Research often indicating a more senior or specialized position compared to Research Assistant roles.

What are some common challenges faced by researchers at UCLA, and how can new hires prepare for them?

Researchers at UCLA often encounter challenges related to balancing multiple projects, securing funding, and navigating complex regulatory requirements. New hires can prepare by familiarizing themselves with grant writing processes, compliance protocols, and effective time management strategies. Building a strong network within your department and taking advantage of UCLA's support resources, such as research administration offices and professional development workshops, can help ease the transition and set you up for success.

What are the key skills and qualifications needed to thrive as a UCLA Researcher, and why are they important?

To thrive as a UCLA Researcher, you typically need a relevant advanced degree (such as a Master's or PhD), strong analytical skills, and in-depth knowledge of your specific field. Proficiency in data analysis software (e.g., SPSS, R, MATLAB), laboratory techniques, and compliance with research protocols is often required. Excellent written and verbal communication, critical thinking, and collaboration skills distinguish top researchers in this role. These competencies are crucial for producing high-quality research, securing funding, and advancing scientific knowledge within UCLA's rigorous academic environment.
More about Ucla Research jobs
What are the most commonly searched types of Ucla Research jobs? The most popular types of Ucla Research jobs are:
What states have the most Ucla Research jobs? States with the most job openings for Ucla Research jobs include:
Infographic showing various Ucla Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

$277K/yr

Full-time

Posted 4 days ago


Job description

Special Instructions to Applicants
This position will consider both hybrid and fully remote candidates. On-site presence may be required as needed based on operational, maintenance, or project requirements. Participation in an on-call rotation for emergency hardware and software support is required. Occasional evenings and weekends may be required to support maintenance windows or respond to incidents. Required to accommodate scheduled based on Pacific Standard Time.
Department Summary
Advanced Research Computing melds expert staff and technical infrastructure to amplify and accelerate the impact of UCLA research in the age of networked data and computation. OARC's expertise and resources are available to all UCLA researchers engaged in digital research and scholarship. We work with faculty, student, and postdoctoral researchers; instructors; and staff and administrators.
OARC is a relationship-building organization. We enable digital scholarship through collaborations, partnerships, and networked communities to advance cutting-edge research capabilities at UCLA and beyond. OARC supports and enhances the university mission of education, research, and service through the development and execution of innovative and sustainable technology practices, programs, services, infrastructure, policies, and partnerships.
Position Summary
Join UCLA's Office of Advanced Research Computing (OARC) and help build the research data infrastructure that powers scientific discovery at UCLA and across a national network of high-performance computing centers. We are seeking a Senior HPC Storage Engineer to lead the design, deployment, and operation of large-scale storage systems supporting data-intensive research, AI/ML, interactive computing, and multi-institutional collaborations.
This senior technical role combines architecture with hands-on engineering. You will evaluate emerging storage technologies, lead deployment of petabyte-scale storage platforms, optimize performance, and develop secure, reliable storage services spanning campus, cloud, and federated HPC environments. As part of UCLA's NSF-supported iDLab initiative, you will help build a national-scale research data infrastructure that enables seamless access to data across geographically distributed computing resources.
At OARC, you will work alongside leading researchers, engineers, and partner institutions while influencing the long-term direction of research cyberinfrastructure at UCLA. This is an opportunity to solve challenging technical problems, work with advanced storage technologies, and make a lasting impact on research computing at both the campus and national levels.
Salary & Compensation
*UCLA provides a full pay range. Actual salary offers consider factors, including budget, prior experience, skills, knowledge, abilities, education, licensure and certifications, and other business considerations. Salary offers at the top of the range are not common. Visit UC Benefit package to discover benefits that start on day one, and UC Total Compensation Estimator to calculate the total compensation value with benefits.
Qualifications
  • 7 years or more Experience in research, enterprise, or hyperscale storage environments with responsibility for large-scale production storage services. (Required)
  • Large scale storage Experience with petabyte-scale storage, federated storage, multi-site research infrastructure, or HPC/cloud-integrated storage services. (Preferred)
  • 1. Advanced knowledge of high-performance computing, data science, and cyberinfrastructure environments supporting large-scale research workloads (Required)
  • 2. Demonstrated knowledge of scale-out, parallel, distributed, object, and federated storage architectures, including performance characteristics, consistency models, caching strategies, and operational tradeoffs. (Required)
  • 3. Hands-on experience architecting, deploying, operating, or substantially supporting one or more large-scale storage platforms such as Lustre, VAST Data, GPFS/Spectrum Scale, Ceph, BeeGFS, WekaFS, or MinIO. Experience with multiple platforms and petabyte-scale deployments is preferred. (Required)
  • 4. Demonstrated experience operating large-scale production storage systems, including monitoring, capacity planning, lifecycle management, upgrades, performance tuning, incident response, backup, replication, and disaster recovery. (Required)
  • 5. Advanced Linux systems administration skills, including kernel-level troubleshooting, performance profiling, storage hardware diagnostics, and tuning across InfiniBand, RoCE, and Ethernet fabrics. (Required)
  • 6. Demonstrated experience diagnosing storage performance problems across Linux clients, metadata services, storage servers, object services, network fabrics, protocol layers, and application I/O patterns. (Required)
  • 7. Proficiency in scripting and automation using Bash, Python, or similar languages; familiarity with configuration management tools such as Ansible and version control such as Git. (Required)
  • 8. Experience integrating storage systems with local, campus-wide, and federated identity providers such as Active Directory, LDAP, CILogon, OIDC, SAML, or Globus Auth. (Required)
  • 9. Demonstrated ability to design and execute storage benchmarks, validate vendor claims, characterize representative scientific workloads, and document results for engineering and executive audiences. (Required)
  • 10. Demonstrated ability to design, operate, or support shared research storage services, including allocation models, user-facing service delivery, large-scale data movement, and escalation support for complex research workflows. (Preferred)
  • 11. Demonstrated ability to communicate complex technical information clearly to technical staff, researchers, leadership, vendors, and external research and education audiences. (Required)
  • 12. Demonstrated ability to work independently and collaboratively, manage competing priorities, lead technical working groups, and sustain production service quality while delivering multi-month projects. (Required)

  • Education, Licenses, Certifications & Personal Affiliations
  • Bachelor's Degree Bachelor's degree in Computer Science, Computational Science, Data Science, Engineering, or a related field; or equivalent combination of education and experience. (Required)
  • Master's Degree Master's in Computer Science, Computational Science, Data Science, Engineering, or a related field; or equivalent advanced professional experience. (Preferred) Or
  • PhD PhD in Computer Science, Computational Science, Data Science, Engineering, or a related field; or equivalent advanced professional experience. (Preferred)

  • Special Conditions for Employment
  • Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.
  • Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment.
  • This position will consider both hybrid and fully remote candidates. On-site presence may be required as needed based on operational, maintenance, or project requirements. Participation in an on-call rotation for emergency hardware and software support is required. Occasional evenings and weekends may be required to support maintenance windows or respond to incidents. (Required)

  • Schedule
    8:00 a.m. to 5:00 p.m
    Union/Policy Covered
    RP-Research and Public Service PR
    Complete Position Description
    https://universityofcalifornia.marketpayjobs.com/ShowJob.aspx?EntityID=38&JDName=Computational%20and%20Data%20Science%20Research%20Specialist%204%20RP%20(TBD_1000126)