Principal Scientific Research Expert – Computational Theory, Physics

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🔴 Lead

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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

• 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.