Principal Scientific Research Expert - Computational Theory & Physics
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 16d ago
The date the source published, not the day we noticed it (2026-10-17). Last seen at its source 3h ago.
We have tracked this listing since 17 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States, Panama, Guatemala, Mexico, Costa Rica, Canada
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $115.9k–187.9k/yr
Middle 50% of 506 listings that do state pay — Operations · Senior · Americas · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 15d ago · last seen 3h ago
The listing
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities.
SENIORITY: Principal / Research Leader
LANGUAGE: Excellent written English
LOCATION: Remote — Worldwide
Key Responsibilities
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.