Evaluate candidate profiles through quantifiable data and research signals
Research Signals Overview
Research Signals help recruiters uncover highly specialized talent using research output and metrics, not just job titles, skills, or profile keywords as these traditional search results often fall short when hiring for deep expertise. With Research Signals, recruiters can now bridge the gap between a researcher’s online profile and their full scope of contributions, by searching across deeper signals like:- Publications and abstracts: Search abstracts and research details with natural language instead of isolated term matching
- Research domains and subfields: Classify candidates by the actual research areas inside their work, from world models and AI safety to RNA/DNA and protein modeling
- Publication venue targeting: Make venue quality searchable using signals from NeurIPS, ICML, ICLR, ACL, CVPR, Nature, and more
- Research output and citation metrics: Evaluate demonstrated research output through paper count, citation count, and H-index
- Institutions, labs, and research environments: Search universities, AI labs, research institutes, and lab-style environments as context, not just employer text
- Patents and invention activity: Separate candidates who publish from candidates who own or drive applied work, with links to patent documents and authorship signals
Why use Research Signals?
Research Signals are most valuable when research evidence can elevate or reframe a candidate’s qualifications beyond their online profile, including scenarios like:- Academic & Research Organizations
- Find researchers with publication history, grant-funded work, institutional affiliations, and demonstrated academic impact by using filters Institution filters alongside Research Grants and Journal Publications
- Frontier AI Labs
- Identify candidates with recent work in narrow areas like foundation models, agents, evaluation, AI safety, and other advanced AI domains by using filters Taxonomy, Publication Venues and/or Recent Publications
- Biotech, Pharma & Scientific R&D
- Source candidates based on narrow scientific expertise such as protein design, molecular modeling, genomics, and drug discovery by filters using Research Grants, Recent Publications and/or Institution
- Robotics, Hardware & Deep Tech
- Find inventors with patents plus first-author conference papers in robotics, autonomy, sensors, or scientific instrumentation by using filters like Patents, First-author Publications, and Conference Publications
- Specialized recruiting and executive search
- Build shortlists around evidence to prove to Hiring Managers and Clients why each candidate is qualified by using filters like Publication Venues, Citations, Grants, and Institutions