2

Remote Computational Modeling Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The applicant must have prior experience with computational modeling and flume experiments.

Develop and manage computational models and analysis tools in MATLAB to support performance ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

Develop and manage computational models and analysis tools in MATLAB to support performance ... This role is remote, with the expectation that candidates are located within a reasonable driving ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational models, and methodological innovations. The scholar will also collaborate with NCEMS ...

... AI models. We are seeking researchers from computational STEM disciplines-as well as ... This is a fully remote, full-time engagement requiring approximately 35 hours per week

New

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... computational modeling and will develop, test, and deploy pore-scale simulation models for the ...

next page

Showing results 1-20

Remote Computational Modeling information

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

To excel in Remote Computational Modeling, you need a strong background in mathematics, physics, and computer science, often supported by a relevant degree such as in engineering or applied sciences. Proficiency with modeling software (like MATLAB, ANSYS, or COMSOL), programming languages (such as Python or C++), and cloud computing platforms is typically required. Outstanding analytical thinking, problem-solving abilities, and effective remote communication skills set top candidates apart. These competencies ensure accurate model development, efficient collaboration, and the ability to deliver reliable results in a remote work environment.

What is remote computational modeling?

Remote computational modeling is the process of creating and simulating mathematical models of real-world systems using computer software, performed from a location outside a traditional office or laboratory setting. Professionals in this field use specialized software to analyze complex data, make predictions, and solve scientific or engineering problems, all while collaborating virtually with teams or clients. This remote setup allows for greater flexibility and access to global projects, making it an attractive option for computational scientists, engineers, and analysts.

What is the difference between Remote Computational Modeling vs Remote Data Analysis?

AspectRemote Computational ModelingRemote Data Analysis
Required CredentialsDegree in computational science, engineering, or related fields; programming skillsDegree in statistics, data science, or related fields; analytical skills
Work EnvironmentCollaborative teams, research labs, or industry projects involving simulationsData-focused environments, business analytics, or research settings
Industry UsageEngineering, scientific research, product developmentBusiness, marketing, healthcare, finance
Search & Comparison IntentUnderstanding roles involving simulation and modeling techniquesAnalyzing data sets to derive insights

Remote Computational Modeling involves creating simulations and models to predict or analyze complex systems, often requiring programming and scientific expertise. Remote Data Analysis focuses on examining data sets to extract meaningful insights, typically using statistical tools. While both roles require analytical skills and often overlap in technical knowledge, they serve different purposes within industries like engineering, research, and business.

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

Professionals in remote computational modeling often face challenges such as maintaining effective communication with team members, managing complex simulations across distributed systems, and staying aligned with project goals without in-person oversight. To overcome these obstacles, it's important to leverage collaboration tools, establish regular check-ins with your team, and document your work thoroughly. Additionally, setting up a reliable remote work environment with necessary software and high-speed internet can help ensure productivity and minimize technical disruptions.
More about Remote Computational Modeling jobs
What cities are hiring for Remote Computational Modeling jobs? Cities with the most Remote Computational Modeling job openings:
What are the most commonly searched types of Computational Modeling jobs? The most popular types of Computational Modeling jobs are:
What states have the most Remote Computational Modeling jobs? States with the most job openings for Remote Computational Modeling jobs include:
Infographic showing various Remote Computational Modeling job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution.

Computational and Modeling Physicist

Booz Allen Hamilton, Inc.

Colorado Springs, CO • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

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


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0244552
Location:
Colorado Springs,CO,US
Share job via:
Share
Computational and Modeling Physicist
The Opportunity:
Are you excited to apply quantum sensing technologies to critical national-security missions? Do you enjoy the challenge of implementing quantum solutions in real world scenarios? Join us to advance quantum-sensing capabilities through computational modeling and collaborative engineering. You will engage with stakeholders to understand application needs, deliver technical support, and contribute to internal and client facing projects. You will both mentor and learn from teammates while helping transition quantum sensor technologies into operational use.
Apply your expertise in computational modeling and data science to help guide experimental efforts toward a deployable quantum sensor. Utilize core physical principles and modern computational techniques to deliver effective, practical solutions. Solve complex technical problems, propose innovative approaches, and contribute independently while mentoring junior team members. Collaborate effectively with internal teams and external partners with minimal supervision.
Join us. The world can't wait.
You Have:
  • Experience with data analysis and multivariable curve fitting
  • Experience in Python or MATLAB
  • Experience with version control systems and collaborative software development
  • Experience conducting targeted scientific literature reviews and implementing new research methods
  • Experience in uncertainty quantification and error analysis
  • Knowledge of Hamiltonian mechanics
  • Ability to deliver practical science and engineering solutions to customer applications
  • Ability to design, validate, and optimize large-scale simulations
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree and 5+ years of experience in Physics or Electrical Engineering or Master's degree and 3+ years of experience in Physics or Electrical Engineering

Nice If You Have:
  • 5+ years of experience with academic or industry quantum mechanics, atomic physics, or quantum sensing including publications or presentations
  • Experience modeling light atom interactions
  • Experience with Julia, C++, or Fortran
  • Experience in high-performance computing including parallelization, distributed computing, or GPU acceleration
  • Experience developing, tuning, and maintaining simulation codes on multi-node cluster architectures
  • Experience developing technology roadmaps, managing teams, and overseeing project execution
  • Experience leading small to medium sized engineering, integration, or test projects
  • Ability to collaborate across varied technical backgrounds
  • Possession of strong communication skills to convey complex concepts clearly to varied audiences

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914