Principal Scientific Research Expert – Computational Theory, Physics

Gramian Consulting

. Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated.

Posted 10/18/2026contractRemote • India, Australia, Japan, Singapore, Philippines, New ZealandLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in computational research methods, including numerical analysis and high-performance computing, while effectively communicating complex findings and evaluating technical claims rigorously.

Highest-signal resume keywords

Computational Research MethodsNumerical AnalysisHigh-Performance ComputingTechnical WritingResearch Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DevelopmentMathematical ProofsProof VerificationFormal MethodsSimulationComputational ReproductionEvaluation StandardsResearch Literature FamiliarityResearch ContributionsTechnical Claim Evaluation

Soft Skills

Analytical SkillsIndependent WorkProblem AssessmentClear Communication

Industry Keywords

Computer ScienceMathematical PhysicsComputational PhysicsResearch MemosScientific ProgressResearch VenuesResearch WorkflowsResearch OutputsResearch DirectionsAmbiguous Problems

About the role

Key responsibilities & impact

Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated.
Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations.
Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques.
Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature.
Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures.
Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools.
Apply critical judgment when reviewing technical work beyond your immediate research specialization.
Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results.

Requirements

What you’ll need

Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline.
Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues.
Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing.
Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning.
Strong familiarity with the research literature and established results in your field.
Excellent analytical, technical writing, and research communication skills.
Ability to work independently, assess ambiguous problems, and communicate findings clearly.