Research Scientist (Remote | $100–$400/hr)

Synthires; United States; Remote; USD 138,000 - 551,000; Part time

Job summary

Synthires seeks a Principal Research Scientist to advance AI systems in computer science and computational physics. This remote, contractor role offers flexible part-time or full-time engagement with a lucrative hourly rate and rigorous scientific work.

You will frame foundational problems, guide multi-step research, and validate results using formal methods, numerical simulations, and high-performance computing, with strong emphasis on research impact and reproducibility.

Qualifications

• Strong research expertise in computer science, mathematical physics, or computational physics.
• Exceptional judgment in assessing research novelty, correctness, and significance.
• Experience with theoretical analysis, numerical computation, or algorithm development.
• Ability to communicate complex findings clearly and document results.

Responsibilities

• Identify and frame foundational open problems, theoretical bounds, and computational challenges.
• Guide AI models through multi-step research 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 concise research memos documenting findings, partial solutions, and model limitations.
• Recommend promising research directions and problems suited to AI-assisted investigation.
• Establish rigorous standards for assessing scientific progress and research quality.

Skills

Computational physics

Research expertise

Numerical computation

High-performance computing

Algorithm development

Scientific communication

Tools

Lean

Coq

SAT/SMT

Job description

Principal Research Scientist (Computer Science / Computational Physics)

Position: Principal Research Scientist (Computer Science / Computational Physics)

Type: Contractor — Flexible Part-Time or Full-Time

Compensation: $100–$400/hour

Location: Remote

About the Opportunity

We’re seeking experienced research scientists in computer science, computational physics, or related fields to help advance next-generation AI systems. You’ll work with frontier AI models and agents to explore open research problems, evaluate scientific results, and guide research direction. No prior AI experience is required — deep domain expertise and rigorous scientific judgment are what matter.

Key Responsibilities

• Identify and frame foundational open problems, theoretical bounds, and computational challenges.
• Guide AI models through multi-step research 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 concise research memos documenting findings, partial solutions, and model limitations.
• Recommend promising research directions and problems suited to AI-assisted investigation.
• Establish rigorous standards for assessing scientific progress and research quality.

Required Qualifications

• Strong research expertise in computer science, mathematical physics, or computational physics.
• Exceptional judgment in assessing research novelty, correctness, and significance.
• Strong computational rigor and complex problem-solving skills.
• Ability to evaluate technical work critically, including research outside your immediate specialty.
• Experience with research methods such as theoretical analysis, numerical computation, simulation, or algorithm development.
• Ability to communicate complex findings clearly and document research outcomes.

Preferred Qualifications

• 7–10+ years of active research in computer science or mathematical/computational physics.
• Strong publication record in leading scholarly venues, including recent research published within the past year.
• Recognition through major awards, professional society fellowships, or invited and plenary talks.
• Experience solving recognized open problems or developing influential concepts adopted by other researchers.
• Hands-on experience with high-performance computing, numerical analysis, and computational simulations.
• Experience with program committees, editorial boards, or formal research tools such as Lean, Coq, and SAT/SMT solvers.
• Public contributions outlining open problems or demonstrating research with advanced AI systems.

Compensation

• $100–$400 per hour.
• Flexible part-time or full-time contractor engagement.