2

Remote Computational Material Science Jobs in Newark, NJ

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational problems to evaluate AI capabilities in scientific research. * Develop problems requiring AI to execute ...

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational problems to test AI capabilities in solving scientific and engineering tasks. * Develop problems requiring ...

Remote Commitment: 15-20 hours/week Role Responsibilities * Design challenging computational problems to evaluate AI capabilities in solving scientific tasks. * Develop problems requiring the use of ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

next page

Showing results 1-20

Remote Computational Material Science information

See Newark, NJ salary details

$59.1K

$86.9K

$102.5K

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

As of Aug 25, 2026, the average yearly pay for remote computational material science in Newark, NJ is $86,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $97,800.00 per year, depending on experience, location, and employer.

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

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

What are the most commonly searched types of Computational Material Science jobs in Newark, NJ?

The most popular types of Computational Material Science jobs in Newark, NJ are:

What are popular job titles related to Remote Computational Material Science jobs in Newark, NJ?

For Remote Computational Material Science jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Computational Material Science jobs in Newark, NJ look for?

The top searched job categories for Remote Computational Material Science jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Remote Computational Material Science jobs?

Cities near Newark, NJ with the most Remote Computational Material Science job openings:

Surface Modeling Expert - Fully Remote | Upto $84/hr

New York, NY • Remote

$84/hr

Full-time

Posted 15 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Atomistic & Surface Modeling Experts (Computational Materials & Catalysis)
Type: Contract
Compensation: $84/hour
Location: Remote
Commitment: 10–40 hours/week

Role Responsibilities

  • Contribute domain expertise in first-principles and molecular simulation. Focus on electronic structure, surface and interface modeling, adsorption, and reaction energetics to build high-quality training and evaluation data.
  • Review and evaluate AI-generated scientific reasoning. Catch errors and improve technical accuracy.
  • Design and solve challenging problems in atomistic and surface modeling.
  • Rate and rank model outputs against defined scientific criteria. Provide clear written reasoning.
  • Structure technical knowledge into well-organized, model-ready data. Include simulation setups, methods, and results.
  • Deliver reliable, high-quality work within defined timelines.

Qualifications

Must-Have

  • Hands-on experience with atomistic modeling using first-principles or molecular methods (DFT, ab initio molecular dynamics, classical MD, or Monte Carlo).
  • Experience modeling surfaces, interfaces, and adsorption or reaction phenomena (slab models, surface reconstructions, transition states, NEB, microkinetics).
  • Experience modeling semiconductor-relevant materials or a background in computational (heterogeneous) catalysis.
  • Proficiency with standard tooling (e.g., VASP, Quantum ESPRESSO, CP2K, GPAW, LAMMPS, ASE, pymatgen).
  • A PhD in materials science, chemistry, physics, chemical engineering, or a related field, ideally with several years of research experience beyond the PhD.
  • Clear written English and the ability to explain technical reasoning concisely.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.