
Causaly is the leading AI platform for life sciences, combining advanced AI, a high-precision knowledge graph, and seamless adoption to enhance R&D productivity and mitigate risks. Their platform empowers R&D teams to find, interpret, and share biomedical information efficiently. Key products include Generative AI Copilot for asking complex biomedical questions, a Knowledge Graph for precise data analysis, an Enterprise Data Fabric for integrating internal and external data, and Scientific RAG for information retrieval. Causaly aims to accelerate drug discovery and development by providing scientists with a "single source of truth" and robust AI tools. The company was co-founded in 2018 by computer scientists Yiannis Kiachopoulos and Artur Saudabayev, with headquarters in London and offices in New York and Greece.

Causaly is the leading AI platform for life sciences, combining advanced AI, a high-precision knowledge graph, and seamless adoption to enhance R&D productivity and mitigate risks. Their platform empowers R&D teams to find, interpret, and share biomedical information efficiently. Key products include Generative AI Copilot for asking complex biomedical questions, a Knowledge Graph for precise data analysis, an Enterprise Data Fabric for integrating internal and external data, and Scientific RAG for information retrieval. Causaly aims to accelerate drug discovery and development by providing scientists with a "single source of truth" and robust AI tools. The company was co-founded in 2018 by computer scientists Yiannis Kiachopoulos and Artur Saudabayev, with headquarters in London and offices in New York and Greece.
What they do: Enterprise AI platform and high-precision biomedical knowledge graph to accelerate drug discovery and R&D
Founded: 2018
Headquarters / offices: London; offices in New York and Greece
Recent funding: Series B $60M (Jul 13, 2023); $93M total raised
Founders / leadership: Yiannis Kiachopoulos (CEO), Artur Saudabayev (CTO)
Biomedical research and drug discovery R&D productivity and risk mitigation
2018
Software Development
60000000
Raised $60M; brought total funding to $93M
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“Includes strategic and growth investors such as ICONIQ Growth, Index Ventures, Marathon Venture Capital, EBRD Venture Capital, Pentech Ventures and individual strategic backers”
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Founded in 2018, Causaly’s AI platform for enterprise-scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face.
We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly
We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon.
In this role, you will be a key contributor to Causaly’s while inspiring change as a market game-changer. Reporting directly to our SVP Sales, you will work cross-functionally to build customer value and drive new business. You will have global ownership of the full lifecycle of a portfolio of top 50 global pharma enterprise customers. You will be pivotal to understand our client’s strategy, relate to the executive level and navigate our resources and capabilities to the “best fit”.
What you will do:
What you need to succeed:
Benefits UK 💰 Competitive compensation package
🩺 Private medical insurance
🦷 Private dental insurance
📔 Life insurance (4 x salary)
🤓 Personal development budget
🧘 Individual wellbeing budget
🌴 25 days holiday plus bank holidays
🥳 Your birthday off!
🚀 Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product.
We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.