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Remote Density Functional Theory Scientist Jobs (NOW HIRING)

Ambry Genetics

$110K - $114K/yr

Compensation: $110,000-$114,000 annually Clinical Genomics Scientist II - Remote US: Experienced ... theories and principles of human genetics Ability to understand and evaluate genetic data and ...

Tempus

$110K - $114K/yr

Compensation: $110,000-$114,000 annually Clinical Genomics Scientist II - Remote US: Experienced ... theories and principles of human genetics Ability to understand and evaluate genetic data and ...

Grid Dynamics Holdings

Research Scientist

Cross-Functional Sharing: Present findings and recommendations to stakeholders across the ... Experience with variable modeling, item response theory, or psychometric methods. * Proficiency ...

Danaher

HRSD Functional Product Owner - USA Remote

$116K - $169K/yr

At Danaher, you can build an incredible career at a leading science and technology company, where ... The HR Service Delivery Functional Product Owner is responsible for defining business priorities ...

Vida Integrated Health

Functional Medicine Nutritionist

$65K - $75K/yr

Remote Functional Medicine Nutritionist Vida Integrated Health is seeking an experienced Functional ... Evaluate DEXA scan results to assess lean muscle mass, bone mineral density, and visceral adiposity ...

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How much do remote density functional theory scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote density functional theory scientist in the United States is $81,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $99,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote density functional theory scientist, and why are they important?

To excel as a Remote Density Functional Theory (DFT) Scientist, you need an advanced degree in physics, chemistry, or materials science with a strong background in quantum mechanics and computational modeling. Proficiency with DFT software packages (such as VASP, Quantum ESPRESSO, or Gaussian) and experience with high-performance computing environments are typically required. Exceptional analytical thinking, problem-solving skills, and the ability to communicate complex results clearly are crucial soft skills. These competencies ensure accurate simulations, effective collaboration with research teams, and successful interpretation of computational results.

What are the key challenges of collaborating with experimental teams as a remote density functional theory scientist?

As a Remote Density Functional Theory Scientist, one common challenge is effectively communicating complex computational findings to experimental collaborators who may have different technical backgrounds. Aligning theoretical predictions with experimental results often requires frequent virtual meetings, clear documentation, and a collaborative mindset to refine models based on feedback. Additionally, time zone differences and remote work can make real-time problem-solving more challenging, so proactive communication and well-organized project management are essential for successful collaboration.

What is a remote density functional theory scientist?

A Remote Density Functional Theory (DFT) Scientist is a professional who specializes in using quantum mechanical modeling methods, particularly density functional theory, to study the electronic structure of molecules and materials. Working remotely, they perform simulations, analyze computational data, and collaborate with research teams to advance scientific understanding in fields such as chemistry, physics, and materials science. Their work often supports the design of new materials, catalysts, or drugs by predicting properties at the atomic level. Remote DFT scientists typically use specialized software and high-performance computing resources to carry out their research and communicate findings through reports or publications.
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Remote Density Functional Theory Scientist jobs near you
Infographic showing various Remote Density Functional Theory Scientist job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 66% Full Time, 4% Part Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,521 per year, or $39.2 per hour.

Superconducting Engineer - Fully Remote | Upto $84/hr

Mercor

San Francisco, CA • Remote

$84/hr

Full-time

Posted 3 days ago

New

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: Experimental Scientist / Engineer – Superconductors
Type: Contract
Compensation: $84/hour
Location: Remote

Role Responsibilities

  • Contribute deep domain expertise across superconducting material synthesis, characterisation, experimental superconductivity, fabrication, and device physics to build high-quality training and evaluation data.
  • Review and evaluate AI-generated scientific reasoning related to superconducting materials and phenomena, identifying experimental or theoretical errors and improving technical accuracy.
  • Design and solve challenging, expert-level problems involving critical temperature (Tc), critical current density (Jc), critical magnetic fields, magnetic susceptibility, electrical transport, flux pinning, vortex behaviour, and structure–property relationships.
  • Analyse and reason about experimental results from techniques such as XRD, SEM/TEM, SQUID/VSM magnetometry, resistivity and magnetotransport measurements, spectroscopy, and cryogenic measurements.
  • Rate and rank model outputs against defined scientific criteria, providing clear written reasoning grounded in experimental superconductivity.
  • Structure technical knowledge — including synthesis procedures, processing parameters, phase and structural data, transport measurements, magnetic measurements, and device data — into well-organised, model-ready data.

Qualifications

Must-Have

  • Hands-on experimental experience with one or more classes of superconducting materials, including cuprate/high-temperature superconductors, iron-based superconductors, conventional superconductors, MgB₂, REBCO/YBCO systems, or emerging superconducting materials.
  • Experience with superconducting material synthesis or processing, such as solid-state synthesis, single-crystal growth, powder processing, thin-film deposition, or related techniques.
  • Strong experience characterising superconducting properties through electrical resistivity/transport, magnetotransport, magnetic susceptibility, SQUID/VSM magnetometry, critical current measurements, critical field measurements, or cryogenic experiments.
  • Strong understanding of superconducting phenomena, including Tc, Jc, critical magnetic fields, Meissner effect, flux pinning, vortex dynamics, and the relationship between material structure and superconducting performance.
  • An advanced degree (PhD/MS) or equivalent hands-on research experience in materials science, condensed matter physics, applied physics, chemistry, electrical engineering, or a closely related field.
  • Clear written English and the ability to explain complex experimental results and technical reasoning concisely.

Preferred

  • Experience with superconducting thin films, heterostructures, or device fabrication using techniques such as PLD, MBE/epitaxy, sputtering, lithography, etching, or clean-room micro/nanofabrication.
  • Experience with applied superconductors or superconducting devices, such as superconducting wires and tapes, coated conductors, Josephson junctions, SQUIDs, superconducting circuits, resonators, detectors, or superconducting quantum devices.

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.