The opportunity
As a Solutions Marketing lead for Healthcare & Science at Anthropic, you will position Claude as the trusted AI partner for clinicians, scientific researchers, health system leaders, and the broader pharmaceutical, biotech, provider, and payer ecosystem. This work matters…
What you'll do
Own comprehensive marketing strategy for Healthcare & Science across key: verticals: pharmaceutical and biotech companies, providers and health systems, payers, medical devices, and digital health
Develop differentiated positioning and messaging across solutions webpages,: campaign materials, and content for distinct audiences within the vertical
Lead go-to-market for product and solution launches, including: sector-specific offerings like Claude Science and relevant MCP integrations and skills across clinical research platforms, scientific literature tools, and EHR ecosystems
Build a new commercial pitch and webinar program for healthcare and science audiences
Partner with Comms on executive thought leadership about AI's potential to: accelerate scientific discovery and improve patient outcomes, including flagship announcements tied to key industry initiatives
Develop a healthcare and science content calendar with social and content: teams that highlights use cases, case studies, and partnership announcements
What they're looking for
- + years of product marketing experience, with at least 2 years of experience: working in health technology companies marketing healthcare, science, or research software products
- Direct experience marketing to healthcare or scientist audiences, including: familiarity with clinical, R&D, or commercial buying centers
- Experience with event marketing at healthcare and science conferences such as: HIMSS, HLTH, BIO, or the J.P. Morgan Healthcare Conference
- A background in enterprise sales enablement, particularly in complex or: regulated industries, with awareness of frameworks like HIPAA and GxP
- A track record of building marketing programs from scratch at a growth-stage company
- Demonstrated interest in the responsible deployment of AI in clinical and: research contexts, including awareness of the ethical considerations unique to healthcare use cases
- Familiarity with the competitive landscape for AI in healthcare and life sciences
