• Lead literature review efforts by identifying key resources and producing annotated bibliographies and clear reviews of literature suitable for publication. • Conduct qualitative research analysis, draft written reports of findings, and contribute to final reports and presentations. • Create surveys, analyze data, and report on results. • Support the creation of research-informed professional learning materials in CAL’s learning management system. • Support stakeholder meetings including producing agendas and managing notes. • Create accessible materials for dissemination including slides, reports, and other materials as needed. • Communicate with partners and external colleagues. • Assist with other duties as needed.

• FutureSearch is looking for exceptional Research Scientists to evaluate and improve state-of-the-art forecasting and agentic LLM web research. • We have the best publicly available forecaster, with a public track record in forecasting tournaments at evals.futuresearch.ai and markets.futuresearch.ai. • We publish papers, such as our ICLR Workshop paper in Jan 2026, and benchmarks like Deep Research Bench and Bench to the Future. • We use our frontier research tools to research the future, such as co-authoring the AI 2027 Timelines Forecast. • We work with frontier labs on research, evaluation, and training.

• Lead high-impact foundational, generative, and evaluative research that informs strategy for Reddit’s consumer product experiences. • Investigate user behaviors, motivations, and needs across key discovery, consumption, engagement, and contribution experiences. • Design and execute rigorous qualitative research, including interviews, usability studies, concept testing, diary studies, and other methods appropriate to the product question. • Integrate qualitative insights with quantitative signals, behavioral data, surveys, experimentation, and product metrics to develop a holistic understanding of user behavior. • Partner closely with product, design, engineering, data science, and other cross-functional teams to shape roadmaps, identify opportunities, and influence product direction. • Communicate research findings through clear narratives, actionable recommendations, and compelling storytelling tailored to cross-functional partners and leadership audiences. • Proactively identify research opportunities across a broad product area and help teams connect user insights to product impact.

• Join an exciting AI-driven research initiative focused on improving the accuracy of protein target annotations used in large-scale bioactivity databases. • Apply your expertise in molecular biology, pharmacology, biochemistry, or chemical biology to validate protein target assignments through primary scientific literature review. • Your work will directly contribute to enhancing high-quality datasets that power next-generation AI models for drug discovery and life sciences research.