Senior Research Scientist, Information Science – Extended Temporary

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🧬 Research Scientist

👻 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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Arizona

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

📣 Marketing

📱 Media

Marketing • Media

Arizona is a São Paulo–based creative and digital production agency. The company presents itself as a multidisciplinary studio focused on ‘Vida Digital’ (digital life), film, photography, integrated production, new retail and technology-driven solutions for clients. Their site highlights creative talent (“Artistas, Nerds & Craques”) and offers contact and project inquiry channels for brands seeking production, creative and tech-enabled marketing work.

📋 Description

• Lead the design, implementation, and evaluation of AI/NLP systems for scientific feasibility assessment • Develop and test integrated pipelines combining literature-based discovery, structured knowledge extraction, simulation, and code-based experimentation • Run experiments and benchmarking at scale • Architect and maintain research codebases in Python and related tools • Implement automated experimentation frameworks, simulation integrations, and evaluation infrastructure • Ensure reproducible artifacts, logging, and documentation for large-scale empirical studies • Design and execute systematic empirical analyses of model behavior and experimental outcomes • Analyze large-scale datasets, intermediate outputs, and logs to diagnose system performance and refine methods • Design and execute user studies of human scientific feasibility assessment • Lead and co-author conference and journal papers for top-tier AI/NLP and machine learning venues • Prepare manuscripts for peer-reviewed publication • Create technical presentations and present findings at national and international conferences • Develop research directions, experimental methodology, and project roadmaps • Assist with technical reports and research documentation • Drive collaboration, manage relationships, and provide technical guidance to student researchers • Coordinate with collaborators within and outside the University for joint experiments, data integration, and research dissemination • Contribute to a collegial, respectful, and collaborative research environment

🎯 Requirements

• Exceptional programming ability, particularly in Python, and strong software engineering practices • Demonstrated ability to design and maintain substantial research codebases • Strong knowledge of AI/NLP research methods, including experimental design, evaluation, and benchmarking • Knowledge of user studies, IRB protocols, human subjects research • Strong demonstrated ability at hands-on empirical research, including extensive interaction with generating and analyzing large volumes of data, intermediate representations, and experimental outputs • Familiarity with Linux-based research environments, Git, containerization (e.g. Docker), and reproducible workflows • Ability to work independently in a research-driven, small-lab setting • Strong written and verbal communication skills