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Remote Computational Modeling Scientist Jobs in Washington

Staffed4U

Chemical Data Analyst

Chantilly, VA · On-site +1

... computational modeling and cheminformatics workflows. * Experience working with large scientific ... Hybrid Work Environment with remote and onsite work flexibility based on program requirements ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

This position is fully remote. This is a temporary position with the potential to convert to a ... computational model using Python. Strong candidates will explain various methods you have applied ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

This position is fully remote. This is a temporary position with the potential to convert to a ... computational model using Python. Strong candidates will explain various methods you have applied ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Develop quantitative simulations and models to provide descriptive and predictive analytics ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Develop quantitative simulations and models to provide descriptive and predictive analytics ...

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Remote Computational Modeling Scientist information

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?

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.

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 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.

What are popular job titles related to Remote Computational Modeling Scientist jobs in Washington?

For Remote Computational Modeling Scientist jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Computational Modeling Scientist jobs in Washington look for?

The top searched job categories for Remote Computational Modeling Scientist jobs in Washington are:

What cities in Washington are hiring for Remote Computational Modeling Scientist jobs?

Cities in Washington with the most Remote Computational Modeling Scientist job openings:

Remote Computational Modeling Scientist jobs near you
Infographic showing various Remote Computational Modeling Scientist job openings in Washington as of June 2026, with employment types broken down into 1% Internship, 66% Full Time, 9% Part Time, 4% Temporary, 19% Contract, and 1% Nights. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution.

Scientific Software Engineer / Computational Physicist

aqua IT

Springfield, VA • On-site, Remote

Full-time

Posted 4 days ago

Job description

Position Overview

We are seeking a Scientific Software Engineer / Computational Physicist to support a research and development program focused on remote sensing, physics-based modeling, and scientific algorithm development.

This role requires a strong background in scientific programming and applied physics. An initial focus will be evaluating an existing scientific codebase originally developed in MATLAB and later converted to Python. The engineer will assess both the software implementation and underlying physics to determine whether models and calculations accurately represent the intended physical phenomena.

The ideal candidate can independently review scientific code, understand the governing physics and mathematical models, identify questionable assumptions or implementations, and develop or improve computational approaches to support ongoing R&D efforts.

Key Responsibilities

  • Review, debug, validate, and improve scientific Python code, including functionality converted from legacy MATLAB.
  • Evaluate whether computational models accurately represent the intended physics, mathematical assumptions, and governing equations.
  • Identify errors or inconsistencies in scientific models, numerical implementations, and MATLAB-to-Python conversions.
  • Work with physics-based models involving areas such as heat transfer, fluid dynamics, radiative processes, and material properties.
  • Develop and evaluate algorithms supporting remote sensing, infrared sensing, spectral analysis, and related R&D efforts.
  • Apply numerical modeling and optimization techniques to scientific and engineering problems.
  • Translate physical principles, mathematical models, and scientific research into computational implementations.
  • Develop validation approaches and evaluate model and algorithm performance, sensitivity, uncertainty, and limitations.
  • Document and communicate technical findings, methodologies, assumptions, and recommendations.

Required Qualifications

  • B.S. in a STEM discipline with 10+ years of relevant experience, or M.S. in STEM with 6+ years of relevant experience.
  • Strong scientific programming experience in Python.
  • Experience with remote sensing.
  • Experience with numerical modeling, scientific computing, simulation, or scientific algorithm development.
  • Strong background in physics, engineering, applied mathematics, or a related scientific discipline.
  • Demonstrated ability to evaluate scientific software and the underlying physical or mathematical models.
  • Knowledge of optimization techniques, such as particle swarm optimization.
  • Active TS/SCI with willingness to obtain a CI Poly.

Preferred Qualifications

  • Experience with MATLAB, particularly scientific or physics-based applications.
  • Experience with infrared remote sensing and/or spectral analysis.
  • Knowledge of flight dynamics.
  • Experience with GitLab and Git CLI.
  • Experience reviewing, comparing, converting, or validating MATLAB and Python scientific implementations.