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Science & Research Recruitment — TopHeads

AI-matched recruitment for scientists and researchers — principal investigators, R&D leadership, industry research scientists, translational and clinical research. Publication and grant record read as evidence.

Scientific hiring depends on a body of evidence that is public, detailed and almost always ignored by general recruiting tools: publication record, authorship position, citation trajectory, grant history, collaboration network and the specific techniques a person has actually run rather than merely cited. TopHeads reads that record directly, including publication histories, and uses it as evidence rather than decoration — so a match for a role that needs a particular methodology can be justified by the papers where the candidate used it, not by the fact that the word appears on their CV.

The academia-to-industry transition is the most common and most badly handled case in the field. A postdoctoral researcher or principal investigator moving into an industry R&D role brings deep methodological skill and a record written entirely in academic conventions, against a job description written in commercial ones. Keyword screening scores that mismatch as a rejection. Matching that reasons across the translation, and explains itself in writing, gives the hiring manager the argument instead of an empty result — which is also the difference between a hiring team that can disagree with a recommendation and one that never sees it.

Research leadership — head of R&D, director of discovery, chief scientific officer — is a dual assessment, requiring scientific standing and the ability to set a portfolio, allocate scarce capital and manage scientists. Translational and clinical research roles add a further regulatory and operational dimension. Both are read here against what the person actually owned rather than the seniority of the label attached to it.