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Computational Scientist Remote Jobs (NOW HIRING)

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Develop evaluation frameworks and rubrics for assessing scientific reasoning quality across STEM ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... M.S. or PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science ...

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

... innovation and scientific excellence. We know that our success is a direct result of the ... We continue to invest time, money and energy into making our onsite, hybrid and remote work ...

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Computational Scientist Remote information

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$50.5K

$111.3K

$137.5K

How much do computational scientist remote jobs pay per year?

As of Jul 15, 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 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.

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 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.

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.
More about Computational Scientist Remote jobs
What cities are hiring for Computational Scientist Remote jobs? Cities with the most Computational Scientist Remote job openings:
What are the most commonly searched types of Computational Scientist jobs? The most popular types of Computational Scientist jobs are:
What states have the most Computational Scientist Remote jobs? States with the most job openings for Computational Scientist Remote jobs include:
What job categories do people searching Computational Scientist Remote jobs look for? The top searched job categories for Computational Scientist Remote jobs are:
Computational Scientist Remote jobs near you
Infographic showing various Computational Scientist Remote job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 2% Internship, 71% Full Time, 24% Part Time, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Cosmology Specialist - Fully Remote | Upto $100/hr

Cosmology Specialist - Fully Remote | Upto $100/hr

Mercor

New York, NY • Remote

$100/hr

Full-time

Posted 26 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Computational Scientific Software & Evaluation Design - Astrophysics & Cosmology
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design graduate-level computational problems using domain-specific scientific software libraries.
  • Evaluate AI systems' ability to solve research-grade problems, from querying simulations to interpreting outputs.
  • Develop experimental strategies to recover hidden information from data, emphasizing strategic reasoning.
  • Calibrate tasks against state-of-the-art AI models, refining problem designs to achieve target difficulty.
  • Work independently and asynchronously to iterate on problem designs based on calibration feedback.
  • Utilize astropy and related tools for cosmological calculations and observational data reduction.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Demonstrated proficiency with scientific software libraries, evidenced by research publications or professional work.
  • Strong Python programming skills for writing problem setups and solution validators.
  • Ability to work in a Linux/terminal environment with remote compute sandboxes.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.