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Day Computational Material Science Jobs in Spring, TX

Rice University

Research Scientist

Houston, TX · On-site

Design and implement experimental and computational projects that bridge fundamental science with practical applications in microfluidics, electrochemical systems, and responsive materials * Design ...

Rice University

Research Scientist

Houston, TX

Design and implement experimental and computational projects that bridge fundamental science with practical applications in microfluidics, electrochemical systems, and responsive materials * Design ...

TekWissen LLC

Supply Chain Material Handler

Houston, TX · On-site

$20 - $22/hr

... scientific expertise, and process excellence and helps its customers deliver new and innovative ... Day Shift Summary This is a Warehouse Specialist / role supporting the Supply Chain / Materials ...

MD Anderson

Data Scientist - Operations Research

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering, computer science, statistics, computational biology, or a related field, with ... Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional ...

Varsity Tutors

Physical Chemistry Tutor

Houston, TX · Remote

$18 - $40/hr

Emphasizes mathematical rigor in chemical reasoning and connects physical chemistry to materials science, nanotechnology, and computational chemistry applications. * Curriculum Awareness & Adaptive ...

NOV

Manager, Metallurgical Engineering

Houston, TX · On-site

Professional Engineer in Material Science a plus. * 7-10+ years of relevant experience with prior ... About Us Every day, the oil and gas industry's best minds put more than 150 years of experience to ...

ExxonMobil

Surface Science & Microscopy Scientist

Spring, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower ... D. (or equivalent experience) in Materials Science, Physics, or a related field, with a focus on ...

ExxonMobil

Surface Science & Microscopy Scientist

Spring, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower ... D. (or equivalent experience) in Materials Science, Physics, or a related field, with a focus on ...

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Showing results 21-40

All JobsDay Computational Material Science JobsDay Computational Material Science Jobs in Spring, TX

Day Computational Material Science information

See Spring, TX salary details

$50.3K

$74K

$87.2K

How much do day computational material science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for day computational material science in Spring, TX is $73,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $83,200.00 per year, depending on experience, location, and employer.

What is a computational material scientist?

A Computational Material Scientist is a professional who uses computer simulations and theoretical models to study and predict the properties and behaviors of materials. They utilize advanced software and high-performance computing to analyze materials at the atomic or molecular level, helping to design new materials with specific characteristics. Their work supports advancements in fields like electronics, energy, aerospace, and manufacturing by enabling faster and more cost-effective material development compared to traditional experimental methods.

What are the key skills and qualifications needed to thrive as a computational material scientist?

To thrive as a Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, typically supported by a relevant advanced degree (MSc or PhD). Expertise with simulation software such as VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages like Python or Fortran, is essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with interdisciplinary teams and presenting complex data. These skills are crucial for driving innovation, accurately modeling materials, and translating computational results into real-world applications.

What are some common challenges faced by professionals in day computational material science roles, and how can they be addressed?

Professionals in Day Computational Material Science often encounter challenges such as managing large datasets, integrating experimental and simulation results, and keeping up with rapid advancements in computational methods. Addressing these challenges requires strong collaboration with experimentalists, continual learning to stay updated on new software and algorithms, and effective time management to balance multiple projects. Leveraging open-source tools and participating in interdisciplinary teams can also help overcome technical hurdles and enhance research outcomes.

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

AspectDay Computational Material ScienceDay Materials Engineer
Required CredentialsTypically requires a PhD or Master's in materials science, physics, or related fieldsBachelor's or Master's in materials engineering or related disciplines
Work EnvironmentPrimarily research labs, computational environments, and simulation softwareDesign, testing, and manufacturing settings, often in industrial or construction sites
Employer & Industry UsageResearch institutions, universities, R&D departments of tech and manufacturing firmsManufacturing companies, construction firms, product development teams

Day Computational Material Science focuses on computer-based simulations and modeling to understand material properties, while Day Materials Engineer involves practical application, testing, and development of materials in real-world settings. Both roles require strong technical knowledge but differ mainly in their work environment and daily tasks.

What cities near Spring, TX are hiring for Day Computational Material Science jobs?

Cities near Spring, TX with the most Day Computational Material Science job openings:

Day Computational Material Science jobs near you

Molecular Dynamics and Aerospace Engineer

Booz Allen Hamilton, Inc.

Houston, TX • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 20 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description


Remote Work:
Hybrid
Job Number:
R0245803
Location:
Houston,TX,US
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Molecular Dynamics and Aerospace Engineer
The Opportunity:
You will support the client by tackling the challenges of contamination of spacecraft and other assets by modeling the complex interactions between dust particles, the space environment, and spacecraft. To do so, they develop and use advanced computational modeling tools and techniques.
As a molecular dynamics and granular mechanics simulation engineer on the Team, you will be responsible for developing particle-scale physics models that resolve contact mechanics, cohesion, and fragmentation across regolith and contaminant populations. This work centers on building MD or DEM frameworks capable of capturing wheel-regolith interactions. As a senior engineer, you will architect and implement computational approaches, guide strategy, and mentor junior staff.
Join us. The world can't wait.
You Have:
  • 6+ years of experience of modeling and simulation of physical phenomena, systems using molecular dynamics (MD), or discrete element method (DEM)
  • Experience developing MD or DEM simulation frameworks
  • Experience developing and maintaining software to implement analytical and computational models
  • Experience programming in Python or C++
  • Experience in data processing and statistical techniques
  • Experience with MD or DEM tools, such as LAMMPS, GROMACS, NAMD, or Ansys Rocky
  • Experience writing technical documentation or scientific publications
  • Ability to work in both a team and independent environment and take ownership of assigned tasks
  • Ability to obtain a Secret clearance
  • Master's degree in a Physics, Mechanical Engineering, Aerospace Engineering, Computer Science, Astronomy, Astrophysics, Applied Mathematics, Computational Physics, Computational Chemistry, Materials Science, or Biophysics field

Nice If You Have:
  • Experience modeling plasma or dust-plasma coupling
  • Experience coupling MD or DEM solvers to Eulerian computational fluid dynamics solvers.
  • Experience applying machine learning (ML) to solve engineering problems with modern ML frameworks such as PyTorch or Tensorflow
  • Experience developing simulations using NVIDIA Warp or CUDA Python
  • Experience working with Linux environments
  • Experience producing original research and working with U.S. Government clients
  • Experience of applications to granular mechanics
  • Possession of strong verbal and written communication skills
  • Secret clearance
  • Doctorate degree in Engineering or related field

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 $86,900.00 to $198,000.00 (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

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

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