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Part Time Computational Material Science Jobs (NOW HIRING)

Uasys

Science Tutor - Part Time

Fayetteville, AR · On-site

$18/hr

Science Tutors work on campus at the Learning Center under the supervision of the Coordinator of ... Judy Sanders, Director of Human Resources All application materials must be uploaded to the ...

Booz Allen Hamilton, Inc.

Material Chemist

Lorton, VA · On-site +1

$69K - $158K/yr

Specifically, the focus is around material science and chemical technologies. You will work on ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Uasys

Science Tutor - Part Time

Morrilton, AR

$18/hr

Science Tutors work on campus at the Learning Center under the supervision of the Coordinator of ... Judy Sanders, Director of Human Resources All application materials must be uploaded to the ...

Varsity Tutors

High School Computer Science Tutor

NV · Remote

$18 - $40/hr

Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

Varsity Tutors

High School Computer Science Tutor

MI · Remote

$18 - $40/hr

Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types ... Ability to identify concepts students commonly struggle with, explain material using multiple ...

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All JobsComputational Material Science JobsPart Time Computational Material Science Jobs

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.
More about Part Time Computational Material Science jobs
What cities are hiring for Part Time Computational Material Science jobs? Cities with the most Part Time Computational Material Science job openings:
What are the most commonly searched types of Computational Material Science jobs? The most popular types of Computational Material Science jobs are:
What states have the most Part Time Computational Material Science jobs? States with the most job openings for Part Time Computational Material Science jobs include:
What job categories do people searching Part Time Computational Material Science jobs look for? The top searched job categories for Part Time Computational Material Science jobs are:
Part Time Computational Material Science jobs near you
Infographic showing various Part Time Computational Material Science job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution.
Abrahamsson Lab - Research Assistant - Computational Chemistry (Junior Specialist)

Abrahamsson Lab - Research Assistant - Computational Chemistry (Junior Specialist)

University of California, San Francisco

San Francisco, CA • On-site

Full-time, Part-time

Posted 12 days ago

University Of California San Francisco rating

8.9

Company rating: 8.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

32nd of 555 rated colleges and universities

Job description

Application Window
Open date: July 9, 2026
Next review date: Friday, Jul 24, 2026 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Sunday, Jan 9, 2028 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Research Assistant - Computational Chemistry (Junior Specialist)
University of California, San Francisco (UCSF) - Mission Bay Campus
Abrahamsson Lab (PI: Dr. Dimitri Abrahamsson)
We are seeking a motivated individual to join our research group as a part-time Computational Chemistry Research Assistant. This position offers the opportunity to contribute to cutting-edge research at the intersection of computational chemistry and analytical instrumentation, with the potential to extend to full-time depending on performance and project needs.
About the Role
You will help develop and apply computational methods to solve outstanding problems in high-resolution mass spectrometry. The work draws on a combination of approaches, including quantum chemical calculations, molecular dynamics simulations, and machine learning. You will work alongside an interdisciplinary team in the Abrahamsson Lab and gain hands-on experience with techniques widely used in modern chemical and biophysical research.
Responsibilities
  • Set up, run, and analyze quantum chemical and molecular dynamics calculations
  • Develop and apply machine learning models to chemical and spectrometric data
  • Process, interpret, and visualize computational and experimental results
  • Document methods and findings, and contribute to group discussions and meetings

Qualifications
  • Recent graduate with a baccalaureate degree (or equivalent degree) in chemistry, biochemistry, physics, computer science, or a related field or at least four years of research experience.
  • Coursework or demonstrated experience in computational or physical chemistry
  • Programming experience (e.g., Python) is strongly preferred
  • Familiarity with quantum chemistry software (e.g., Psi4, ORCA, Gaussian), molecular dynamics packages (e.g., GROMACS, AMBER, OpenMM), or machine learning frameworks (e.g., PyTorch, scikit-learn, TensorFlow) is a plus but not required
  • Strong analytical skills, attention to detail, and the ability to work both independently and collaboratively

See Table 24B for the salary range for this position. A reasonable estimate for this position is $55,000-$58,600.
How to Apply
Please click here to apply with a cover letter, CV, and contact information for two references. In your cover letter, briefly describe your relevant background, your interest in the position, and your availability. Applicant materials must list current and/or pending qualifications upon submission. The selected candidate must meet all the qualifications at the time of appointment.
Application Requirements
Document requirements
  • Cover Letter - In your cover letter, briefly describe your relevant background, your interest in the position, and your availability.
  • Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
  • Statement of Research (Optional)

Reference requirements
  • 2 required (contact information only)

About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
San Francisco, CA

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