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Part Time Computational Material Science Jobs in Boston, MA

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Part Time Computational Material Science information

What is a part time computational material science?

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 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 are the most commonly searched types of Computational Material Science jobs in Boston, MA?

The most popular types of Computational Material Science jobs in Boston, MA are:

What are popular job titles related to Part Time Computational Material Science jobs in Boston, MA?

For Part Time Computational Material Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Part Time Computational Material Science jobs in Boston, MA look for?

The top searched job categories for Part Time Computational Material Science jobs in Boston, MA are:

Part Time Computational Material Science jobs near you

Part-Time Lecturer (non-tenure track) for Bio 35 - Computational Biology

Tufts University

Medford, MA • On-site

Part-time

Re-posted 9 days ago

Tufts University rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

103rd of 621 rated colleges and universities

Job description

Description
The Department of Biology at Tufts University seeks a part-time, non-tenure track faculty member to teach a computational biology course (Bio 35 - Computational Biology) in the fall of 2026 (September-December). The course is currently scheduled for Tuesdays and Thursdays from 1:30-2:45pm. Students in the course should learn and apply introductory programming skills in Python to explore quantitative and computational methods that are central components of contemporary evolutionary, ecological, and biomedical research. No programming skills of students in the course are assumed. Existing course materials can be used by the part-time lecturer, or they may use their own existing computational biology course materials.
Qualifications
Candidates should have a Ph.D. and teaching experience in a relevant topic area (e.g. computational biology, bioinformatics, evolutional/ecological genomics). Experience teaching computational biology courses, evidence of teaching success, and an invested interest in developing inclusive classroom spaces that promote success of all students will be part of the hiring criteria.
Application Instructions
All applications are submitted via Interfolio at https://apply.interfolio.com/188205. Applicants should submit a cover letter, CV, two confidential letters of recommendation, and student evaluations (if available).
Review will start immediately and continue until the position is filled.
For questions on this position please contact Jessica Orlando at jessica.orlando@tufts.edu.
All offers of employment are contingent upon the completion of a background check.

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