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Computational Physics Research Scientist - Remote

  • Computational Physics Research Scientist - Remote job type Posted on: Nov 12, 2026
  • Computational Physics Research Scientist - Remote experience level YO AI Labs
  • Computational Physics Research Scientist - Remote employment type New York, New York
  • Computational Physics Research Scientist - Remote employment type Remote
  • Computational Physics Research Scientist - Remote salary Full-time

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Job Title :

Computational Physics Research Scientist - Remote

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

Yes

Jobcon Logo Job Description :

Job Description

Job Description
Role Title: Principal Research Scientist (Computer Science / Computational Physics)

Role Type: Contractor (Part-Time or Full-Time)
Location: Remote
Schedule: Flexible

We are seeking experienced Principal Research Scientists in Computer Science or Computational Physics to support an advanced AI research project. You'll work with frontier AI models and agents to investigate open problems, validate scientific results, and evaluate progress in theoretical and computational research. No prior AI experience is required.

Key Responsibilities
  • Identify foundational open problems, theoretical limits, and simulation challenges with verifiable outcomes.
  • Guide AI models through complex research tasks involving proofs, algorithms, numerical experiments, and high-performance simulations.
  • Validate results through proof checking, computational reproduction, and formal methods.
  • Evaluate the novelty, correctness, and significance of research against existing literature.
  • Prepare research memos documenting findings, partial solutions, and AI model limitations.
  • Recommend promising research directions and open problems for AI-assisted investigation.
Required Qualifications
  • 7–10+ years of active research experience in computer science, mathematical physics, or computational physics.
  • Strong record of scholarly contributions and publications in leading research venues, including recent work within the past year.
  • Expertise in computational research methods, such as simulation, numerical analysis, algorithm implementation, or high-performance computing.
  • Ability to rigorously evaluate t

Jobcon Logo Position Details

Posted:

Nov 12, 2026

Reference Number:

79cde8f8

Employment:

Full-time

City:

New York

Job Origin:

ziprecruiter

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Job Description

Job Description
Role Title: Principal Research Scientist (Computer Science / Computational Physics)

Role Type: Contractor (Part-Time or Full-Time)
Location: Remote
Schedule: Flexible

We are seeking experienced Principal Research Scientists in Computer Science or Computational Physics to support an advanced AI research project. You'll work with frontier AI models and agents to investigate open problems, validate scientific results, and evaluate progress in theoretical and computational research. No prior AI experience is required.

Key Responsibilities
  • Identify foundational open problems, theoretical limits, and simulation challenges with verifiable outcomes.
  • Guide AI models through complex research tasks involving proofs, algorithms, numerical experiments, and high-performance simulations.
  • Validate results through proof checking, computational reproduction, and formal methods.
  • Evaluate the novelty, correctness, and significance of research against existing literature.
  • Prepare research memos documenting findings, partial solutions, and AI model limitations.
  • Recommend promising research directions and open problems for AI-assisted investigation.
Required Qualifications
  • 7–10+ years of active research experience in computer science, mathematical physics, or computational physics.
  • Strong record of scholarly contributions and publications in leading research venues, including recent work within the past year.
  • Expertise in computational research methods, such as simulation, numerical analysis, algorithm implementation, or high-performance computing.
  • Ability to rigorously evaluate t

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