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Full Time Research Computing Jobs (NOW HIRING)

HPC Cloud Engineer

Albuquerque, NM · On-site

$8.5K - $12K/mo

... research computing environments. Additional Requirements Campus Health Sciences Center (HSC) - Albuquerque, NM Department HSC CIO Office (340B) Employment Type Staff Staff Type Regular - Full-Time ...

HPC Security Architect

Stony Brook, NY · On-site

$142K - $182K/yr

In lieu of a degree, a combination of directly related full-time experience in cybersecurity, with experience in research computing or large-scale distributed systems totaling nine [9] years may be ...

New

Research Scholar

New York, NY · On-site

$48K - $62K/yr

... to hire a full time Research Scholar. New York University (NYU) is one of the top private ... Use NYU's high performance computing (HPC) to train large models (4B parameters). * ML Model ...

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Full Time Research Computing information

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$37K

$106K

$142.5K

How much do full time research computing jobs pay per year?

As of Jul 14, 2026, the average yearly pay for full time research computing in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Research Computing professional, and why are they important?

To thrive in Full Time Research Computing, you typically need a strong background in computer science, data analysis, and scientific research, often supported by a relevant degree or equivalent experience. Familiarity with high-performance computing (HPC) systems, programming languages such as Python or R, and tools like Linux, Slurm, or cloud platforms is crucial. Strong problem-solving skills, effective communication, and the ability to collaborate with multidisciplinary research teams set exceptional candidates apart. These skills ensure efficient support of complex research projects, effective data management, and the advancement of scientific discovery.

What is a Full Time Research Computing professional?

A Full Time Research Computing professional is someone who provides computational support and expertise for scientific research projects. They typically help researchers leverage high-performance computing (HPC) resources, manage large datasets, and implement software tools to advance scientific discovery. Their role often includes assisting with code optimization, troubleshooting technical issues, and ensuring efficient use of computing infrastructure. These professionals bridge the gap between research teams and IT, enabling more effective and innovative research outcomes.

What is the difference between Full Time Research Computing vs Research Data Analyst?

AspectFull Time Research ComputingResearch Data Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, universities, or research institutions with focus on computing infrastructureData analysis teams within research organizations or academic settings
Employer & Industry UsageUniversities, government research agencies, tech companiesAcademic institutions, healthcare, market research firms
Common Search & Comparison IntentUnderstanding roles involving research computing infrastructureRoles focused on analyzing research data sets

Full Time Research Computing professionals primarily manage and develop research computing infrastructure, while Research Data Analysts focus on analyzing research data to generate insights. Both roles require strong technical skills and often work within research environments, but their core responsibilities differ in focus—computing infrastructure versus data analysis.

How does a Full Time Research Computing professional typically collaborate with researchers and other IT staff?

A Full Time Research Computing professional regularly works alongside researchers to understand their computational needs, helping them optimize code, troubleshoot technical issues, and utilize high-performance computing resources efficiently. Collaboration with IT staff is also common to ensure system reliability, implement security protocols, and manage software installations. This role often acts as a bridge between domain scientists and technical teams, facilitating clear communication and effective project outcomes.
More about Full Time Research Computing jobs
What cities are hiring for Full Time Research Computing jobs? Cities with the most Full Time 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 Full Time Research Computing jobs? States with the most job openings for Full Time Research Computing jobs include:
Infographic showing various Full Time Research Computing job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,012 per year, or $51 per hour.

HPC Security Architect

Stony Brook University Medical

Stony Brook, NY • On-site

$70.75 - $91.25/hr

Full-time

Posted 6 days ago

New


Job description


 

Required Qualification (as evidenced by an attached resume)

Bachelor's degree. In lieu of a degree, a combination of directly related full-time experience in cybersecurity, with experience in research computing or large-scale distributed systems totaling nine [9] years may be considered. Five [5] years of experience in cybersecurity, with experience in research computing or large-scale distributed systems. Experience in NIST 800-171, HIPAA, and regulated data environments. Experience with Identity and access management architectures. Experience with Network and system security design. Experience with Linux systems, high-performance networking, and storage architectures. Experience with translating complex regulatory requirements into technical implementations.


Preferred Qualifications:
Advanced degree (foreign equivalent or higher). Experience supporting HPC environments or research infrastructure. Experience in AI/ML security, model governance, and data provenance. Experience with federated identity (InCommon, SAML, OIDC) and research collaboration frameworks. Certified in CISSP, CISM, CCSP, or similar.


Brief Description of Duties:

The HPC Security Architect leads the design, implementation, and governance of security architecture across Stony Brook University's advanced research computing ecosystem, including AMA27, SeaWulf, NVWulf, and ClinWulf. This role establishes a comprehensive, risk-based security framework ensuring compliance with HIPAA, NIST 800-171, NIH GDS, and emerging AI governance standards. The incumbent operates at the intersection of research enablement and enterprise security, partnering with the Division of Information Technology (DoIT), Stony Brook Medicine IT (SBMIT), Research Security, IRB, and faculty to embed secure-by-design principles across compute, storage, data workflows, and collaborative research environments. The HPC Security Architect must have the ability to communicate with others effectively.

HPC Security Architecture & Strategy

      Design and maintain a multi-tier security architecture for research computing environments spanning SeaWulf, NVWulf, ClinWulf, and AMA27 (NSF Tier-1 HPC).

      Define reference architectures for secure compute, storage (GPFS/Arcastream), and high-speed networking (InfiniBand).

      Establish segmentation strategies (network, identity, workload isolation) across research tiers.

      Lead adoption of zero trust principles in HPC and research environments.

      Align HPC security strategy with institutional and SUNY-wide initiatives (e.g., Empire AI).

Compliance & Regulatory Alignment

      Lead implementation of security controls aligned to HIPAA Security Rule, NIST 800-171/CMMC, NIH Genomic Data Sharing (GDS) Policy, and federal export control requirements.

      Partner with Research Security, Privacy, IRB, and Legal to define compliant research computing patterns and support Data Use Agreements (DUAs).

      Enable secure data acquisition, storage, and sharing workflows.

      Develop and maintain System Security Plans (SSPs) and supporting documentation for regulated environments.

Identity, Access, and Data Security

      Architect and enforce identity and access management (IAM) integration (e.g., SailPoint, federated access, MFA).

      Implement role-based and attribute-based access controls for HPC and research datasets.

      Define secure onboarding workflows for faculty, research staff, external collaborators, and federated/national computing environments (e.g., NSF ACCESS, Empire AI).

      Oversee data protection strategies, including encryption, key management, and secure data lifecycle controls.

Secure Research Environments & Data Governance

      Design and operationalize tiered secure research environments (open, restricted, regulated).

      Collaborate with Data Brokerage and Honest Broker services to ensure privacy-preserving data access.

      Define secure data pipelines for clinical data (EMR integrations, TriNetX, OnCore/Cerner RPE), genomic and imaging data, and large-scale AI/ML datasets.

      Establish controls for secure collaboration and data sharing, including external access frameworks.

Threat Modeling, Risk Management & Incident Response

      Conduct threat modeling for HPC and AI workloads, including supply chain and model security risks.

      Lead risk assessments for new research initiatives and infrastructure deployments.

      Partner with enterprise security teams to integrate HPC into SOC monitoring, vulnerability management, and incident response processes.

      Develop playbooks for research-specific incident scenarios (e.g., data exfiltration, misuse of compute resources).

Infrastructure & Platform Security Engineering

      Provide security guidance for Linux-based HPC environments, container platforms (Singularity/Apptainer, Kubernetes), and scheduler systems (SLURM).

      Define secure configurations for GPU systems, AI pipelines, high-performance storage systems (GPFS), and research cloud integrations (Azure HIPAA environments).

      Support high-speed Networking (InfiniBand & Ultra Ethernet)  design, including topology and switch configurations.

      Familiarity with one or more of Cumulus, Mellanox Onyx, or SONiC NOSes.

      Storage design, configuration, and benchmarking experience spanning high-speed flash, spinning disk, and archival solutions.

Training, Outreach & Research Enablement

      Develop and deliver security guidance and training tailored to researchers and technical staff.

      Serve as a trusted advisor to faculty on secure research design and grant proposals.

      Contribute to letters of support and DMSP guidance related to secure computing environments.

Other duties and projects as assigned and appropriate to rank and area mission.


Special Notes:
This is a full-time appointment. FLSA Exempt position, not eligible for the overtime provisions of the FLSA. Minimum salary threshold must be met to maintain FLSA exemption.

For this position, we are unable to sponsor candidates for work visas.

SUNY implemented a hybrid telecommuting pilot program. This position has been approved to participate in the pilot, which allows for up to 5 remote days per pay period.

Resume/CV and cover letter should be included with the online application.

Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information, veteran status and all other protected classes under federal or state laws.

If you need a disability-related accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA.

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