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Remote Computational Materials Science Jobs in Colorado

Senior Scientist, Oceans Science

Boulder, CO · On-site +1

$94K - $129K/yr

Location Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC. Duration ... materials * Mentor more junior scientists, fellows, and interns, as appropriate * Additional ...

Software Engineer III

Denver, CO · On-site +1

$59.25 - $79.50/hr

While we are mostly a remote company, travel is required for some team meetings and cross function ... About the Team You will join our expert Computational Imaging team, where we develop sophisticated ...

Valeris works on behalf of life sciences companies to improve the patient experience so that ... Ensures compliant use of approved materials, resources and talking points only * Ensure all SOPs ...

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Remote Computational Materials Science information

What is remote computational materials science?

Remote computational materials science involves using computer simulations and modeling techniques to study and design materials, all while working from a remote location rather than in a physical lab. Researchers in this field use software tools to predict the properties and behaviors of materials at the atomic or molecular level, which can accelerate the discovery of new materials for applications in energy, electronics, and manufacturing. Remote computational materials scientists commonly collaborate with teams online, analyze data, and run simulations on high-performance computing systems accessible via the internet.

What are some common challenges faced when working remotely in computational materials science, and how can they be addressed?

Remote computational materials scientists often encounter challenges such as coordinating with interdisciplinary teams across different time zones and ensuring efficient access to high-performance computing resources. Clear communication through regular virtual meetings and collaborative platforms helps maintain project alignment. Additionally, staying organized with version control systems and thorough documentation is essential for seamless teamwork. Being proactive about addressing technical issues, such as software compatibility or data transfer limitations, also ensures productivity.

What is the difference between Remote Computational Materials Science vs Remote Materials Data Analyst?

AspectRemote Computational Materials ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; experience with computational modelingBachelor's or master's in data science, materials science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, using simulation software and programmingData processing, visualization, and reporting using analytics platforms
Employer & Industry UsageResearch institutions, R&D departments in manufacturing, tech companiesManufacturers, consulting firms, research labs analyzing material data

Remote Computational Materials Science involves simulating and modeling materials at the atomic or molecular level, requiring programming and scientific expertise. In contrast, Remote Materials Data Analysts focus on analyzing existing material data to inform decisions, emphasizing data skills. Both roles are essential in materials research but differ in their core activities and skill sets.

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

To thrive as a Remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, often with a PhD or advanced degree, and expertise in computational modeling. Familiarity with simulation software like VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages such as Python or Fortran, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are crucial for collaborating remotely and conveying complex results. These competencies enable effective independent research, accurate data analysis, and seamless teamwork in a virtual scientific environment.
What are the most commonly searched types of Computational Materials Science jobs in Colorado? The most popular types of Computational Materials Science jobs in Colorado are:
What are popular job titles related to Remote Computational Materials Science jobs in Colorado? For Remote Computational Materials Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Computational Materials Science jobs in Colorado look for? The top searched job categories for Remote Computational Materials Science jobs in Colorado are:
What cities in Colorado are hiring for Remote Computational Materials Science jobs? Cities in Colorado with the most Remote Computational Materials Science job openings:
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 12 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

13th of 73 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