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Contract Scientific Computing Jobs (NOW HIRING)

... Scientific Computing, Statistics, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

... Scientific Computing, Statistics, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

... Scientific Computing, Statistics, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

... Scientific Computing, Statistics, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

... Scientific Computing, Statistics, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

... Scientific Computing, Statistics, etc. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 ...

... Scientific Computing, Statistics, Cyber-Physical Systems, etc.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree.

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Contract Scientific Computing information

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How much do contract scientific computing jobs pay per hour?

As of May 31, 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 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 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 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:
Infographic showing various Contract Scientific Computing job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 83% Physical, and 17% Remote job distribution, with an average salary of $65,473 per year, or $31.5 per hour.
Scientific Computing Platform Engineer

Scientific Computing Platform Engineer

Pantar Solutions, Inc.

San Francisco, CA • Remote

Other

Posted 12 days ago


Job description

Title: Scientific Computing Platform Engineer
Location: LA / Remote
Type: Contract
Job Description :
Science Vault is currently a working but mostly manual data publishing workflow for research/scientific computing data. It publishes data from ASC/Cluster environments into an S3-backed, read-only storage model with metadata capture, access through Client website and controls tied to Okta, AD groups, and S3 permissions.
The immediate need is someone who can own the closing engineering work: stabilize the workflow, reduce manual steps, improve usability, and help make it supportable for broader Research use.
Mandatory Skills :
Strong Python scripting and CLI development
AWS S3 experience, including bucket structure, versioning, permissions, and access patterns
IAM/security awareness, ideally with Okta, AD groups, or enterprise auth integration
Linux/HPC environment familiarity, especially working from shared filesystems or cluster environments
Ability to work with metadata capture, validation, and structured data manifests
Practical debugging, logging, packaging, and operational hardening experience
Additional skills:
Web app or lightweight portal development for self-service publishing/access
Familiarity with data cataloguing, FAIR metadata, MMDS, or scientific data management
Experience building supportable internal tools with documentation and handoff materials
Comfort working with scientists/research users to convert rough workflows into usable products
Primary Skills: Python, AWS S3, Linux, IAM/Okta integration, HPC and cluster computing environments, metadata management, workflow automation, and scientific computing.
Minimum experience: 5+ Years.