• Treating patients via tele-health visits, including telephonic triage calls, video visit appointments, and email follow-ups • Continuous learning during weekly Clinical Rounds and through other modalities • Ongoing collaboration with both virtual and in-office teammates via daily huddles • Utilization of your specific clinical training and opportunities to give exceptional care to patients virtually

• Deliver live, instructor-led online classes • Conduct hands-on demos, guided practices, and projects • Explain concepts using real-world use cases • Address learner queries and ensure engagement

• Deliver instructor-led CBAP training sessions for online learner batches. • Cover core topics including: - BABOK Guide knowledge areas and frameworks - Requirements gathering and analysis techniques - Stakeholder management strategies - Agile and Scrum concepts for Business Analysts - Business process modeling and workflow analysis - SDLC methodologies and project lifecycle understanding - CBAP exam preparation strategies and application guidance - Real-world business analysis case studies and practical applications • Prepare and update: - Training materials - Assignments and exercises - Mock tests and assessments - Case studies and workshop activities • Conduct interactive workshops, doubt-clearing sessions, and assessment reviews. • Guide learners in understanding CBAP application eligibility and certification requirements. • Track learner progress and provide personalized mentoring and feedback. • Support learners with practical business analysis scenarios and documentation techniques. • Maintain session quality metrics and learner engagement standards. • Stay updated with the latest IIBA standards, CBAP exam patterns, and industry trends. • Collaborate with internal teams on curriculum enhancement and content development initiatives.

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives • Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally • Develop new methodological approaches for studying AI's impact on: • Labor markets and the future of work • Productivity and task transformation • Economic inequality and displacement • Industry-specific disruption and adaptation • Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios • Develop causal-inference tooling — e.g. surrogate indexes, heterogeneous-effect pipelines — to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions • Build and maintain relationships with academic institutions, policy think tanks, and other research partners • Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection • Translate research insights into actionable recommendations for both product decisions and policy discussions • Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders