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Computational Research Jobs (NOW HIRING)

NCSU

Temporary Research Associate

Raleigh, NC · On-site

The candidate will be responsible for conducting computational research on vegetable crops. This position will require extensive computational work, data analysis, and writing of manuscripts. Is Time ...

Quadrillion Labs, Inc

Research Intern

New York, NY · On-site

$300K - $500K/yr

Post-train models for scientific and computational research tasks * Build evaluations and benchmarks for such tasks, and use them to measure frontier models and our own Required qualifications

Quadrillion Labs, Inc

Research Intern

Manhattan, NY · On-site

Post-train models for scientific and computational research tasks * Build evaluations and benchmarks for such tasks, and use them to measure frontier models and our own Required qualifications

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How much do computational research jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computational research in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is computational research?

Computational research involves using computer-based models, simulations, and data analysis to solve complex scientific and engineering problems. Researchers in this field use algorithms, software, and high-performance computing to analyze large datasets, perform simulations, and make predictions. This approach is widely used across disciplines such as physics, biology, chemistry, and engineering to complement experimental and theoretical work.

What are some common challenges faced by professionals in computational research, and how can they be addressed?

Professionals in computational research often encounter challenges such as managing large datasets, optimizing algorithms for efficiency, and ensuring reproducibility of results. Collaborating effectively with interdisciplinary teams—such as domain scientists, software engineers, and data analysts—can also be complex due to differing technical backgrounds. To address these challenges, it's essential to stay updated on the latest tools and best practices, document code thoroughly, and communicate regularly with collaborators to align goals and methodologies. Many organizations also offer mentorship programs and workshops to support ongoing professional development in these areas.

What are the key skills and qualifications needed to thrive in computational research, and why are they important?

To excel in Computational Research, a strong background in mathematics, computer science, and domain-specific knowledge is essential, often supported by advanced degrees such as a master's or PhD. Proficiency with programming languages (like Python, R, or C++), data analysis tools, and high-performance computing systems is typically required. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for success in interdisciplinary research environments. These skills and qualities are important because they enable researchers to design innovative solutions, analyze complex data, and drive scientific discovery.

What is the difference between Computational Research vs Data Scientist?

AspectComputational ResearchData Scientist
Required CredentialsAdvanced degrees in computer science, mathematics, or related fieldsDegree in statistics, computer science, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, academic institutions, R&D departmentsCorporate settings, tech companies, finance, healthcare
Industry UsagePrimarily in academia, government, and research institutionsWidely in business, tech, and consulting sectors

Computational Research focuses on developing new algorithms and models for scientific discovery, often in academic or research settings. Data Scientists analyze and interpret large datasets to inform business decisions. While both roles require strong technical skills and programming knowledge, Computational Research emphasizes theoretical development, whereas Data Scientists focus on practical data analysis and insights.

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What job categories do people searching Computational Research jobs look for?

The top searched job categories for Computational Research jobs are:

Computational Research jobs near you
Infographic showing various Computational Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Research Computing Software Engineer

The Applied Research Laboratory at Penn State University

Reston, VA • On-site

$213K/yr

Full-time

Re-posted yesterday

Job description

Job Summary:
The Applied Research Laboratory at Penn State University is seeking a Research Computing Software Engineer to join their Visualization and Decision Support Division. The role involves developing and maintaining software solutions to support the computational and data analysis needs of the research community, while directing a team of engineers and researchers to enhance research capabilities.
Responsibilities:
• Develop, deploy, enhance, and maintain software applications and tools to support research computing needs
• Implement efficient algorithms and data structures to handle large datasets and complex computations
• Write clean, well-documented, and maintainable code using modern programming languages
• Integrate software solutions with existing research computing infrastructure, including cloud platforms
• Collaborate with other engineers and researchers to ensure seamless integration and functionality of software tools within the research environment
• Analyze and optimize the performance of software applications, ensuring they meet the high demands of computational research
• Identify and address performance bottlenecks, memory usage issues, and other technical challenges
• Provide technical support and troubleshooting for software issues, assisting researchers in overcoming obstacles
• Create and maintain comprehensive documentation for software tools, including user guides, technical specifications, and troubleshooting procedures
• Stay up to date with advancements in software engineering and computational research technologies
• Propose and implement new features, improvements, and updates to enhance the functionality and usability of software tools
• Lead or participate in software development projects, including planning, development, testing, and deployment phases
• Manage project timelines, deliverables, and milestones to ensure successful and timely completion of software initiatives
• May supervise staff members, including hiring, development, and performance management
Qualifications:
Required:
• Code analysis
• Cross-team collaboration
• Data Analysis
• Presentation Skills
• Programming
• Software architecture
• Software development
• Software testing
• Technology acumen
• Trend analysis
• Bachelor's Degree 6+ years of relevant experience; or an equivalent combination of education and experience accepted
• Bachelor's Degree 3+ years of relevant experience; or an equivalent combination of education and experience accepted
• Ability to obtain a government security clearance
• U.S. citizenship
Preferred:
• Active or recently active TS/SCI clearance
• A Master's degree in Geography is preferred
Company:
The Applied Research Laboratory at Penn State University is an integral part of one of the leading research universities in the nation. Founded in 1945, the company is headquartered in State College, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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