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Remote Computational Modeling Scientist Jobs (NOW HIRING)

Takeda

Director, Computational Biology

Boston, MA · On-site +1

The Director, Oncology Computational Biology will be a key scientific leader within the ... This position is currently classified as "hybrid" by Takeda's Hybrid and Remote Work policy Takeda ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

... models and predictive chemistry. Our talented team of biologists, chemists and engineers, armed ... Your day to day includes working with biology data scientists to harden their notebooks and ...

Mercor

Subject Matter Expert

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Demonstrated technical expertise in at least one domain: computational modeling, laboratory methods ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

You will develop and maintain NIH databases, build analytical tools, support computational modeling ... This role sits at the intersection of data science, regulatory science, and biomedical research.

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

Overview We look for computational materials scientists excited about bridging the gap between ... Work will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces ...

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$50.5K

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$137.5K

How much do remote computational modeling scientist jobs pay per year?

As of Jun 8, 2026, the average yearly pay for remote computational modeling scientist 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 the difference between Remote Computational Modeling Scientist vs Remote Data Scientist?

AspectRemote Computational Modeling ScientistRemote Data Scientist
Required CredentialsAdvanced degrees in computational science, physics, or related fields; programming skillsDegree in data science, statistics, or related fields; programming and analytical skills
Work EnvironmentResearch labs, tech companies, or industries requiring simulation and modelingBusiness, tech, healthcare, or finance sectors analyzing large datasets
Employer & Industry UsageResearch institutions, biotech, aerospace, and engineering firmsTech companies, finance, healthcare, marketing
Common Search & ComparisonYesNo

The Remote Computational Modeling Scientist focuses on developing and applying computational models to simulate complex systems, often requiring advanced scientific knowledge. In contrast, the Remote Data Scientist primarily analyzes large datasets to extract insights for business decisions. While both roles involve programming and data analysis, their core applications and industries differ significantly.

How does a Remote Computational Modeling Scientist typically collaborate with cross-functional teams while working off-site?

As a Remote Computational Modeling Scientist, you’ll often work closely with multidisciplinary teams, including experimental scientists, data analysts, and software engineers. Collaboration usually takes place through virtual meetings, shared project management tools, and cloud-based data repositories, ensuring seamless communication despite geographical distance. Clear documentation, proactive updates, and flexible scheduling are key to overcoming the challenges of time zone differences and remote coordination. Building strong professional relationships and maintaining transparency help facilitate effective teamwork and project success.

What is a Remote Computational Modeling Scientist?

A Remote Computational Modeling Scientist is a professional who uses advanced computer simulations and mathematical models to analyze complex systems or predict outcomes in fields such as physics, biology, chemistry, or engineering—all while working remotely. They design, develop, and implement computational models to solve scientific problems, often collaborating with research teams virtually. Their work helps organizations understand phenomena, optimize processes, and accelerate innovation without needing to be physically present in a traditional lab or office setting.

What are the key skills and qualifications needed to thrive as a Remote Computational Modeling Scientist, and why are they important?

To thrive as a Remote Computational Modeling Scientist, you need a strong background in mathematics, physics, or engineering, along with experience in computational modeling and a relevant advanced degree. Proficiency with programming languages (such as Python, MATLAB, or C++), simulation software, and version control systems is typically expected. Exceptional problem-solving abilities, self-motivation, and effective virtual communication are vital soft skills for remote collaboration and independent workflow. These competencies ensure accurate model development, efficient project delivery, and seamless teamwork across distributed environments.
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Remote Computational Modeling Scientist jobs near you
EO/IR Modeling Scientist

EO/IR Modeling Scientist

U.S. Department of Defense (DOD)

Springfield, VA • Remote

$109K/yr

Other

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

U.S. Department Of Defense rating

7.8

Company rating: 7.8 out of 10

Based on 518 frontline employees who took The Breakroom Quiz

26th of 46 rated military and defense

Job description

R&D Scientists conduct research and apply expertise in one or more academic disciplines to advance GEOINT. They manage R&D programs and advance science partnerships, facilitating interdisciplinary collaboration to further scientific inquiry and integrate technology. R&D Scientists provide technical guidance and oversight, communicate results, and advise management on new and evolving technology. T

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
1. Experience coordinating and maintaining working relationships across multiple stakeholders such as: program offices, systems engineers, subject matter experts, researchers, technical experts, 2. and/or acquisitions personnel.
3. Experience as an independent scientist in R&D programs, leveraging one or more of the following domains: geodetics, imagery, image and video processing, spectral, radar, photogrammetry, data science, and/or remote sensing.
3. Experience leading advanced R&D programs involving engineers, technical experts, and/or multi-disciplinary teams.
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Mathematics, Physical Science, Computer Science, or a related discipline that includes 24 semester (36 quarter) hours in Mathematics, Science and/or a related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. Such coursework includes, but is not limited to, Artificial Intelligence, Machine Learning, Programming, Data Mining, Cybersecurity, Geographic Information Systems, Remote Sensing, or Statistics. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework as listed in option A, plus experience that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals to 4 years.* No Licensure/Certification Requirements

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
1. Experience with Geospatial Intelligence (GEOINT) processes, capabilities, technologies, and/or operations.
2. Experience in evaluating proposals for relevance, merit and cost of solicitation, monitoring program financial performance, and managing cost/schedule risks.
3. Experience drafting requirements, cost estimates, statements of work, and developing deliverables for R&D programs.

Education:Employment Type: OTHER

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