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$50.5K

$111.3K

$137.5K

How much do computational scientist remote jobs pay per year?

As of May 28, 2026, the average yearly pay for computational scientist remote in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Scientist in a remote role, and why are they important?

To thrive as a Computational Scientist remotely, you need a strong background in mathematics, programming (such as Python or C++), and domain-specific scientific knowledge, often supported by an advanced degree in a STEM field. Familiarity with high-performance computing environments, data analysis tools, and version control systems like Git is typically required. Excellent problem-solving, self-motivation, and effective virtual communication are crucial soft skills for remote collaboration and productivity. These competencies ensure accurate scientific modeling, efficient teamwork, and successful project outcomes in a distributed work setting.

How do Computational Scientists collaborate with multidisciplinary teams in a remote work setting?

Computational Scientists often work closely with researchers, data analysts, and software engineers, even when working remotely. Effective collaboration typically involves regular virtual meetings, shared code repositories, and collaborative project management tools to ensure alignment on research goals and methodologies. Daily responsibilities may include discussing data findings, troubleshooting models, and integrating diverse expertise into computational solutions. Remote teams often leverage communication platforms to maintain a strong sense of teamwork and project momentum.

What is a Computational Scientist and what do they do?

A Computational Scientist is a professional who uses advanced computing techniques, mathematical models, and simulations to solve complex problems in science and engineering. They develop algorithms, write code, and analyze large datasets to gain insights in fields like physics, biology, chemistry, and more. Working remotely, they collaborate with research teams, utilize high-performance computing resources, and often contribute to scientific publications. Their work is critical in accelerating discoveries and innovations by transforming raw data into actionable knowledge.

What is the difference between Computational Scientist Remote vs Data Scientist?

AspectComputational Scientist RemoteData Scientist
Required CredentialsAdvanced degrees in science, engineering, or related fields; programming skillsDegree in statistics, computer science, or related fields; programming and analytical skills
Work EnvironmentRemote, research-focused, often in scientific or technical industriesRemote or on-site, business or tech industries, data analysis focus
Employer & Industry UsageResearch institutions, scientific companies, government labsTech companies, finance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles, skills, and remote opportunitiesJob responsibilities, skills, and industry applications

While both roles involve data analysis and programming, Computational Scientists Remote focus on scientific research and simulations, often in research or technical industries. Data Scientists typically analyze business data to inform decisions. The roles overlap in skills like programming and statistical analysis but differ in industry focus and work environment.

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Computational Scientist Remote jobs near you

Senior Data Scientist | Remote

Crossing Hurdles

Manhattan, NY • Remote

$100 - $160/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Position: Experienced & Credentialed Data Scientists Type: Hourly contract Compensation: $100-$160 per hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities Work on projects that focus on training and enhancing AI systems Apply data science expertise in domains such as quant trading, bioinformatics, astrophysics, and applied computational mathematics Requirements Strong credentials in data science, typically a PhD or MS in a related field Industry work experience in fields such as quant trading, bioinformatics, astrophysics, applied computational mathematics, or similar Experience with cloud-based data and ML tools such as Google Colab, BigQuery, Databricks, Snowflake, or AWS/Azure analytics tools #J-18808-Ljbffr

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