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Remote Computer Science Research Jobs in Alabama

AP Statistics Tutor

Huntsville, AL ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

AP Statistics Tutor

Birmingham, AL ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

AP Statistics Tutor

Montgomery, AL ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

Remote, USAReports to: Head of Global Health SalesLycored | Remote (Preferred: CST or EST Time ... Our teams research, develops, and produces high quality, science-backed ingredients that help our ...

OpenGL Developer

Huntsville, AL ยท On-site +1

$48.25 - $65/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Open GL Developer to join ... Bachelor's degree in software engineering, Computer Science, Computer Engineering, or equivalent ...

Technical Product Manager

Huntsville, AL ยท On-site +1

$164K - $190K/yr

Bachelor\'s degree in a technical or quantitative field (computer science, software or systems ... Familiarity with DoD, federal research labs, or federal procurement, or enterprise software sold ...

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

Master's degree in Computer Science, Cyber Security, Information Security, Engineering, or Information Technology #CyberServiceNow For individuals assigned and/or hired to work in Remote role ...

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Remote Computer Science Research information

What is the difference between Remote Computer Science Research vs Remote Software Developer?

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

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

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

Is computer science dead due to AI?

Remote computer science research remains a vital field as AI advances, requiring expertise in algorithms, data analysis, and programming. AI tools can enhance research productivity but do not replace the need for foundational computer science skills and critical thinking. Continuous learning and adaptation are essential for computer scientists in this evolving landscape.

How to make $1000 a week remotely?

A remote computer science researcher can earn $1000 a week by taking on freelance projects, consulting, or contract work that leverages specialized skills such as programming, data analysis, or machine learning. Building a strong portfolio, networking, and using platforms like Upwork or Freelancer can help secure consistent high-paying assignments. Additionally, developing expertise in in-demand tools and obtaining relevant certifications can increase earning potential.

How can I make $100,000 a year working from home?

A remote computer science researcher can earn $100,000 annually by gaining specialized skills in high-demand areas such as machine learning, data analysis, or cybersecurity, and building a strong portfolio or reputation. Advanced degrees, certifications, and experience with programming languages like Python or R can also increase earning potential, often through consulting, freelance projects, or research positions with competitive salaries.

Can I work remotely with a computer science degree?

Remote computer science research positions are common and often require a degree in computer science or related fields. These roles typically involve skills in programming, data analysis, and research tools, and may require familiarity with collaboration platforms and remote work best practices.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.
What are the most commonly searched types of Computer Science Research jobs in Alabama? The most popular types of Computer Science Research jobs in Alabama are:
What are popular job titles related to Remote Computer Science Research jobs in Alabama? For Remote Computer Science Research jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research jobs in Alabama look for? The top searched job categories for Remote Computer Science Research jobs in Alabama are:
What cities in Alabama are hiring for Remote Computer Science Research jobs? Cities in Alabama with the most Remote Computer Science Research job openings:
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 27 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.