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Описание вакансии
Текст:
TL;DR
Partner Manager, Global Health (Clinical AI Evaluation): Drive the clinical research and evaluation agenda for Anthropic’s global health work, shaping how Claude is validated for safe use in low- and middle-income countries with an accent on clinical evaluation frameworks, evidence generation, and real-world care-delivery workflows. Focus on building research partnerships and translating clinical insights into evaluations, safeguards, and product improvements.
Location: San Francisco, CA | New York City, NY
Salary: $215,000 - $300,000 USD (annual)
Company
Anthropic builds reliable, interpretable, and steerable AI systems with a mission to make AI safe and beneficial for users and society.
What you will do
- Own the clinical research and evaluation agenda for global health work, defining what must be proven, to what standard, and with whom.
- Design clinical evaluations and validation frameworks for LLMs in LMIC contexts, covering accuracy, safety, multilingual performance, and real-world conditions.
- Develop theories of change and outcome metrics linking model capability to care quality, health-worker performance, and patient outcomes.
- Build and manage global research partnerships and engage with regulatory and normative bodies (e.g., WHO, national authorities, research-ethics bodies).
- Partner with internal research and product teams to improve Claude for clinical use cases in low-resource settings.
- Contribute across the broader global health portfolio and support adjacent workstreams and team strategy.
Requirements
- Medical training and clinical practice (MD, GP, MBBS, DO, or equivalent), with direct experience delivering care in low-resource settings.
- Strong, on-the-ground understanding of clinical and care-delivery workflows in LMICs.
- Direct experience evaluating or validating clinical AI/ML tools, understanding the gap between benchmarks and real-world clinical safety.
- Deep expertise in clinical research and evidence generation for digital health or AI tools, including what counts as credible evidence for clinical safety and effectiveness.
- Strong command of the regulatory and normative landscape for clinical AI, including WHO processes, national regulatory authorities in LMICs, and research ethics.
- Track record building research partnerships with academic and in-country researchers; comfort with ambiguity and willingness to travel regularly (~25%).
Culture & Benefits
- Hybrid policy: expected to be in one of the offices at least 25% of the time.
- Visa sponsorship available; reasonable efforts made if an offer is made.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
- Collaborative office environment and emphasis on communication skills.
Hiring process
- Application review with consideration of qualifications; encouraged to apply even if not meeting every requirement.
- Visa support includes use of an immigration lawyer if an offer is made.
- Recruiters contact only from @anthropic.com; avoid sharing money/fees or banking information before the first day.
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