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Founding Healthcare Lead

Cosine

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placeLondon Office home_workIn sede scheduleTempo pieno labelGTM publicOfferta aggregata · GB

eventPubblicata il 15 ott 2026 · verifiedAbbiamo verificato il 15 ott 2026 che è ancora attiva

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Job title: Founding Healthcare Lead Location: London; full in-office working as default Start date: ASAP Reports to: CCO Compensation: Salary and Equity options available for discussion Application deadline: 01/11/26 at 23:59 UK time ___________________________________________________________________________ About Cosine Cosine is an applied AI research and engineering company building frontier AI models and autonomous software engineering systems. We're developing the UK's first sovereign frontier large language model, alongside specialised models trained for complex, high-stakes applications. Our technology can be deployed in highly secure environments, including fully air-gapped infrastructure, enabling organisations to adopt advanced AI without compromising control over their data or systems. We work with some of the world's most complex organisations across defence, financial services and other critical industries, helping them develop, customise and deploy AI capabilities that solve real operational problems. We're now looking to build a substantial presence in healthcare and life sciences. ___________________________________________________________________________ The Opportunity We're looking for an exceptional Founding Healthcare Lead to build and lead Cosine's healthcare and life sciences business from the ground up. This is an entrepreneurial role at the intersection of frontier AI, healthcare and commercial strategy. You'll identify where our technology can have the greatest impact, build relationships with leading healthcare organisations, and turn those opportunities into meaningful commercial partnerships. We're particularly interested in applying our capabilities to problems that require secure deployment, highly specialised AI models, complex data processing and deep integration with existing enterprise systems. You'll work directly with Cosine's leadership, researchers and engineers to shape our approach to the sector and help establish healthcare as one of our most important markets. This isn't a conventional sales role. You'll be expected to develop the strategy, originate opportunities, shape solutions and build a business. ___________________________________________________________________________ What you’ll do Build our healthcare business Define and execute Cosine's go-to-market strategy across healthcare, pharmaceuticals, biotechnology and the wider life sciences ecosystem. Identify the highest-value applications for Cosine's technology, particularly where generic AI solutions fall short. Establish relationships with senior leaders across healthcare providers, pharmaceutical companies, research institutions and technology partners. Build and own a pipeline of significant commercial opportunities, from initial engagement through to contracts and long-term partnerships. Shape high-impact AI opportunities Work with customers to identify complex problems that could benefit from bespoke AI models, agentic systems or autonomous software engineering. Translate customer needs into clear technical and commercial proposals, working closely with Cosine's ML and engineering teams. Structure and negotiate commercial agreements spanning pilots, bespoke model development, enterprise licensing and strategic partnerships. Help customers navigate the practical challenges of deploying AI in healthcare, including data governance, security, regulatory requirements and integration with existing systems. Build the foundations of a new vertical Develop a deep understanding of where Cosine can establish a differentiated position in healthcare. Represent Cosine at industry events, executive meetings and strategic discussions. Feed market insights back into our research and product roadmap, helping us prioritise the capabilities with the greatest commercial potential. Work across the organisation to ensure that customer engagements translate into successful deployments and sustainable long-term relationships. As the business grows, help build the team, partnerships and operating model required to scale the vertical. ___________________________________________________________________________ What we’re looking for We're open-minded about backgrounds, but expect the successful candidate to combine deep healthcare industry knowledge with exceptional commercial judgement and entrepreneurial drive. Essential Significant commercial, strategic or operational experience in healthcare, pharmaceuticals, biotechnology or life sciences. A strong understanding of how major healthcare organisations operate, buy technology and make investment decisions. A track record of building senior relationships and turning complex opportunities into commercial outcomes. The ability to engage credibly with both technical and non-technical stakeholders, from researchers and engineering teams to senior executives. Strong commercial instincts, including the ability to identify genuine customer problems, develop business cases and negotiate complex deals. Genuine enthusiasm for AI and a strong understanding of its emerging capabilities and limitations. High levels of independence, ownership and comfort operating in an early-stage, fast-moving environment. Particularly interesting Experience commercialising AI, machine learning, data platforms or other advanced technologies within healthcare. An established network across pharmaceutical companies, biotechnology firms, NHS organisations, healthcare technology providers or research institutions. Experience with bespoke model development, AI infrastructure or enterprise AI deployments. Familiarity with healthcare data governance, clinical safety, information security and relevant regulatory frameworks. Experience building a new business line, entering a new market or taking an emerging technology from initial concept to significant revenue. A background spanning both technical and commercial roles. ___________________________________________________________________________

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