1

Contract Scientific Computing Jobs (NOW HIRING)

ECS is seeking an experienced Systems Architect to work remotely providing scientific computing support for the work performed under this contract for NIH NIAID Enabling and Advancing Technologies ...

Contingent on Contract Award Overview STi is seeking a CWMD Computer Programming SME to support ... Experience with M&S tools and scientific computing Preferred Qualifications * Experience supporting ...

Scientific computing * Geospatial data formats and standards * Publications in peer-reviewed journals * Federal government contract experience * Security clearance or ability to obtain one * Relevant ...

next page

Showing results 1-20

Contract Scientific Computing information

See salary details

$13

$31

$52

How much do contract scientific computing jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for contract scientific computing in the United States is $31.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $40.14 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in contract scientific computing roles, and how can they be addressed?

Contract scientific computing professionals often encounter challenges such as adapting quickly to new research environments, managing diverse project requirements, and ensuring clear communication with multidisciplinary teams. To address these, it’s helpful to spend time upfront understanding client expectations, maintain organized documentation, and establish regular check-ins with both scientific and IT stakeholders. Flexibility and continuous learning are key, as projects may involve rapidly changing technologies or scientific domains. Building a strong professional network can also help in finding solutions to technical or collaborative issues that arise.

What are the key skills and qualifications needed to thrive as a Contract Scientific Computing professional, and why are they important?

To thrive as a Contract Scientific Computing professional, you need a solid background in computational science, mathematics, and programming, typically supported by an advanced degree in a relevant STEM field. Expertise with programming languages (such as Python, R, or MATLAB), scientific software libraries, and experience with high-performance computing systems are commonly required. Strong problem-solving skills, attention to detail, and effective communication are vital soft skills in this role. These capabilities ensure accurate data analysis, efficient project delivery, and successful collaboration with multidisciplinary teams.

What is contract scientific computing?

Contract scientific computing refers to the practice of hiring external experts or companies to perform specialized computational tasks, such as data analysis, simulation, or algorithm development, for scientific research projects. These professionals are typically engaged on a contract or project basis rather than as full-time employees. Organizations use contract scientific computing to access specific expertise, scale up research efforts, or accelerate project timelines without committing to permanent hiring. This approach is common in fields like physics, biology, engineering, and data science. Contract scientists may work remotely or on-site, depending on project needs.

What is the difference between Contract Scientific Computing vs Contract Data Analysis?

AspectContract Scientific ComputingContract Data Analysis
Required CredentialsDegree in Computer Science, Scientific Computing, or related field; programming skillsDegree in Statistics, Data Science, or related; analytical skills
Work EnvironmentResearch labs, biotech, pharma, academiaBusiness, finance, healthcare, tech companies
Employer & Industry UsageResearch institutions, scientific companiesCorporate, consulting, healthcare sectors
Search & Comparison IntentFocus on computational tasks, simulations, modelingFocus on data interpretation, reporting, insights

Contract Scientific Computing involves developing computational models and simulations in scientific research, often requiring programming and technical skills. Contract Data Analysis centers on interpreting datasets to generate insights for business decisions. While both roles require analytical skills, Contract Scientific Computing emphasizes computational methods, whereas Contract Data Analysis focuses on data interpretation and reporting.

More about Contract Scientific Computing jobs
What cities are hiring for Contract Scientific Computing jobs? Cities with the most Contract Scientific Computing job openings:
What are the most commonly searched types of Scientific Computing jobs? The most popular types of Scientific Computing jobs are:
What states have the most Contract Scientific Computing jobs? States with the most job openings for Contract Scientific Computing jobs include:
Scientific Computing and Data Management SME with Security Clearance

Scientific Computing and Data Management SME with Security Clearance

ECS

Hampton, VA • Hybrid

Other

Posted 11 days ago


Job description

Job Description ECS is seeking an experienced Scientific Computing and Data Management SME to work remotely providing scientific computing support for the work performed under this contract for NIH NIAID Enabling and Advancing Technologies (NEAT) . This engagement supports the Scientific Computing Services program area which includes Program Management, Scientific Instrumentation Support, and High Performance Computing. Please Note: This position is contingent upon [contract win].

The NIAID NEAT Scientific Computing and Data Management SME will provide technical knowledge and analysis of highly specialized applications, scientific instrumentation, high-level functional systems analysis, design, integration, documentation and implementation advice on moderately complex problems for HPC environments. Key Responsibilities: * Support Linux-based HPC environments, infrastructure troubleshooting, scientific application support, workload scheduling support, and operational sustainment activities for research computing services. * Support day-to-day user engagement and service optimization activities.

* Support high-throughput scientific data movement, parallel storage optimization, data lifecycle coordination, and secure research data handling across hybrid compute environments. * Provide technical knowledge and analysis of highly specialized applications, scientific instrumentation, high-level functional systems analysis, design, integration, documentation and implementation advice on moderately complex problems for HPC environments. * Apply principles, methods and knowledge of the functional area of capability to specific task order requirements, advanced mathematical principles and methods to exceptionally difficult and narrowly defined technical problems in engineering and other scientific applications to arrive at automated solutions.

* Assist other senior consultants with analysis and evaluation and with the preparation of recommendations for system improvements, optimization, development, and/or maintenance efforts in the following specialties: information systems architecture, networking; telecommunications, automation; communications protocols, risk management/electronic analysis, software; lifecycle management, software development methodologies, and modeling and simulation. Required Skills * Bachelor's degree in Computer Science, Information Security or related field. * Active Public Trust or higher security clearance.

* Minimum 8 years experience supporting IT infrastructure, systems, and applications, including HPC environments, support teams, and ensuring quality of service operations. * Experience with scientific instrumentation and HPC and knowledge of working in a scientific research organization, with an emphasis on biomedical research. * Experience supporting commercial scientific instrumentation, and the integration of this instrumentation in a federal government IT environment.

* Experience supporting systems based on Windows, MacOS, and Linux, including both GUI and command-line operations and troubleshooting, and scripting in these environments. * Have documented experience with FISMA and system authorization processes. * Practical experience with industry best practices as articulated by, but not limited to, the Project Management Institute (PMI), Lean IT, Agile practices, DevOps and ITIL, as appropriate.

* Reside within the Washington DC Metro area * Travel within the Washington DC Metro Area, and CONUS as needed. Desired Skills * Ability to lead, mentor, and guide engineering teams to ensure adherence to best practices. * Relevant Certifications (e.g.

Certified Information System Security Professional (CISSP), Global Information Assurance Certification (GIAC), Certified Enterprise Defender (GCED), GIAC Certified Incident Handler (GCIH), Certified Network Defender (CND), Systems Security Certified Practitioner (SSCP), etc.) * Familiar with HHS Enterprise Life Cycle (ELPC) methodology. ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people.

We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven