Chief Scientist - AI for Scientific Discovery

Want to apply frontier AI research to science's biggest unanswered questions?

Excited by leading world-class researchers across AI, biology and large-scale scientific datasets?

Ready to shape the scientific direction of a globally recognised AI-for-science organisation?

We're partnered with a well-funded, mission-driven, 40-person research organisation using advanced AI to decode animal communication. Operating at the intersection of machine learning, bioacoustics and scientific discovery, the team is building foundation models trained on unique multimodal datasets to unlock new understanding of non-human communication. Backed by leading philanthropists and research partners, they combine frontier AI research with production-grade engineering. This is a rare opportunity to lead scientific strategy at executive level while advancing both AI capability and real-world scientific impact.

As Chief Scientist, you will report directly to the CEO and lead the organisation's scientific vision, research strategy and interdisciplinary AI research function. You'll oversee research leaders across AI, decoding and infrastructure while shaping how foundation models and large-scale AI systems accelerate scientific discovery.

Key Responsibilities

• Define and execute the organisation's long-term AI research strategy
• Lead and develop senior research leaders across Foundation Models, Research Infrastructure and Decoding
• Drive the application of large-scale machine learning to scientific research challenges
• Evaluate and guide foundation model development, deployment and research quality
• Build external partnerships across academia, industry and scientific institutions
• Communicate scientific strategy to executives, board members, donors and stakeholders
• Grow research capability through hiring, mentoring and leadership development

Key Details

Salary Range: £200,000- £250,000

Working Model: Fully remote. Preference for Europe or US. International travel required for annual meetups, conferences and leadership activities.

Tech Stack: Foundation Models, LLMs, Machine Learning, Deep Learning, Research Infrastructure, Multimodal AI, Audio AI, Bioacoustics Data, Large-Scale Data Platforms

Visa Sponsorship: Unavailable

Interested? Please apply below.