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Remote Scientific Computing Jobs (NOW HIRING)

$201K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... None If filled as Scientific Computing Software Specialist (ARL) - Advanced Professional, this ...

$68K - $113K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... None If filled as Scientific Computing Software Specialist (ARL) - Professional, this position ...

Lead Cloud Architect

$56.50 - $77.50/hr

Title: Lead Cloud Architect Remote role * 10+ years of experience in scientific computing processing 20+ TB of data in a cloud environment * Programming languages: * Python * R * Matlab * Fortran

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Hybrid Quantum-Classical Computing for Scientific Discovery: Create hybrid quantum-classical ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Successful candidates will engage in research in all or any of the areas of scientific computing ...

... computing advances into real-world scientific and commercial impact. You will be a quantum ... Remote, US Travel: 10% domestic and international travel supporting customer engagements and ...

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Remote Scientific Computing information

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$31

$52

How much do remote scientific computing jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote 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 is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

More about Remote Scientific Computing jobs
What cities are hiring for Remote Scientific Computing jobs? Cities with the most Remote 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 Remote Scientific Computing jobs? States with the most job openings for Remote Scientific Computing jobs include:
What job categories do people searching Remote Scientific Computing jobs look for? The top searched job categories for Remote Scientific Computing jobs are:
Infographic showing various Remote Scientific Computing job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $65,473 per year, or $31.5 per hour.
Scientific Computing & Geospatial Engineer

Scientific Computing & Geospatial Engineer

Lynker Corporation

Tuscaloosa, AL โ€ข On-site, Remote

$85K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Overview
Lynker is seeking a skilled and motivated Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure. This role works at the intersection of environmental science and high-performance software development, contributing to national-scale flood forecasting, terrain analysis, and hydrologic modeling systems that operational forecasters and emergency managers depend on every day.
The ideal candidate is comfortable moving between backend engineering, raster and terrain processing, scientific Python workflows, and cloud-native data infrastructure and is motivated by the idea that their code outputs matter in the real world.
Responsibilities
Duties of the Scientific Computing & Geospatial Engineer may include but are not limited to:
  • Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows
  • Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF
  • Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale
  • Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software
  • Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery
  • Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems
  • Apply modern software practices including Docker, CI/CD, and automated testing across all development work
  • Perform related duties as assigned

Qualifications
The Scientific Computing & Geospatial Engineer selected should have the following:
  • Bachelor's degree in computer science, geospatial science, hydrology, or a related field (MS or above is a strong plus)
  • 3+ years of relevant software development experience
  • Strong scientific Python experience including numpy, pandas, xarray, and geopandas
  • Experience processing large geospatial or environmental datasets using GDAL or equivalent tools
  • Familiarity with cloud-native geospatial formats and chunked or tiled data processing approaches
  • Experience with AWS storage and compute workflows (S3, EC2, batch)
  • Solid software engineering fundamentals - version control, testing, CI/CD, Docker
  • Ability to work independently on complex assignments and deliver sound technical recommendations
  • Strong written and oral communication skills for documentation and cross-disciplinary collaboration

The Ideal candidate will have the following:
  • Expereince with Rust for high-performance scientific or geospatial computing
  • Background in flood inundation mapping, hydrologic modeling, or remote sensing
  • Cloud infrastructure automation using Terraform or AWS CDK
  • HPC or accelerated computing experience
  • Experience with ensemble or gridded meteorological data formats

About Lynker
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:
  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.
โš  Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.