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Part Time Computational Material Science Jobs in Colorado

... computational models of collective information processing in animal groups. Building on the lab ... science, biology, and applied mathematics. Training and all required materials will be provided.

Completed, or nearing completion of, BA/BS degree in Engineering, Chemistry, Material Science, Physical Science or like field. * Previous internship or part-time experience relative to major a plus.

... computational biochemistry research, at the interface of data science and protein dynamics ... Ensure your materials fully address the required and preferred job qualifications of the position.

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Part Time Computational Material Science information

What are some typical projects or tasks a part-time computational material scientist might work on, and how is work typically structured within a part-time schedule?

As a part-time computational material scientist, you can expect to work on focused projects such as running simulations to predict material properties, analyzing data from computational experiments, or assisting in the development of new algorithms and models. Tasks often include collaborating remotely with full-time researchers, attending virtual meetings, and preparing reports or presentations on your findings. The workload is typically structured to fit your availability, allowing you to contribute to ongoing research while balancing other commitments. Communication and flexibility are key, as you may coordinate with multidisciplinary teams and adjust priorities based on project needs.

What are the key skills and qualifications needed to thrive as a Part Time Computational Material Science professional, and why are they important?

To thrive as a Part Time Computational Material Science professional, you need a solid background in materials science, physics, or engineering, often supported by a relevant degree and experience with computational modeling. Familiarity with tools such as Density Functional Theory (DFT) software, molecular dynamics packages, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving, and the ability to communicate complex findings clearly are vital soft skills. These capabilities enable effective research, accurate simulations, and collaboration within interdisciplinary teams, driving innovation and advancement in materials development.

What is the difference between Part Time Computational Material Science vs Part Time Materials Engineer?

AspectPart Time Computational Material SciencePart Time Materials Engineer
Required CredentialsTypically requires a degree in materials science, physics, or engineering; familiarity with computational toolsRequires a degree in materials science, mechanical engineering, or related field; practical experience in materials testing
Work EnvironmentPrimarily office-based, using simulation software and data analysis toolsLaboratory or manufacturing settings, performing experiments and material testing
Industry UsageUsed in research, development, and simulation-focused roles within tech and manufacturing sectorsApplied in product development, quality control, and manufacturing processes

Part Time Computational Material Science focuses on computer-based simulations and modeling of materials, ideal for research roles. In contrast, Part Time Materials Engineer involves hands-on testing and practical application in labs or production environments. Both roles require a background in materials science but differ in work setting and daily tasks.

What is a part-time computational material science job?

A part-time computational material science job involves using computer-based simulations and modeling to study and predict the properties and behaviors of materials, but on a reduced or flexible work schedule. Professionals in this role may work on projects such as developing new materials, optimizing existing materials, or supporting experimental research with computational insights. These jobs are ideal for students, researchers, or professionals who need flexible hours, and often require knowledge of programming, materials science, and simulation software. Tasks can include running simulations, analyzing data, and preparing reports or presentations based on findings.
What are the most commonly searched types of Computational Material Science jobs in Colorado? The most popular types of Computational Material Science jobs in Colorado are:
What are popular job titles related to Part Time Computational Material Science jobs in Colorado? For Part Time Computational Material Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Part Time Computational Material Science jobs in Colorado look for? The top searched job categories for Part Time Computational Material Science jobs in Colorado are:
What cities in Colorado are hiring for Part Time Computational Material Science jobs? Cities in Colorado with the most Part Time Computational Material Science job openings:
Infographic showing various Part Time Computational Material Science job openings in Colorado as of July 2026, with employment types broken down into 2% Internship, 72% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution.
Computational and Modeling Physicist

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

Posted 5 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0244552
Location:
Colorado Springs,CO,US
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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.
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About Booz Allen Hamilton

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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