You will own the scientific and ML core of Discovery Synth, architecting novel retrieval, reasoning, and knowledge representation systems for high-stakes biomedical research. This is a true co-founder role where you will design multi-source evidence synthesis frameworks that outperform manual processes, moving beyond simple API wrappers to build foundational infrastructure for scientific discovery.
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Research Co-Founder at Periscopiclabs
Periscopic Labs is seeking a Research Co-Founder to architect the scientific engine behind Discovery Synth, an AI platform revolutionizing biomedical research. Backed by Emergent Ventures, we're replacing months of manual evidence synthesis with a sophisticated reasoning stack. If you have a background in frontier AI labs or top-tier academic research and want to own the ML core of a high-impact startup from day one, this high-equity role in London is your opportunity to build foundational infrastructure that accelerates scientific discovery.
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Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
Periscopiclabs
Role overview
Periscopic Labs is a frontier applied AI company focused on building structured intelligence systems for complex domains. We design infrastructure that connects real-world data, scientific research and machine intelligence to enable deeper understanding and accelerate discovery.
What you will do
- Architect production-grade retrieval-augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains.
- Design and implement sophisticated knowledge representation systems and ontology mapping to treat scientific evidence as a first-class object.
- Lead the technical strategy and evidence extraction pipelines, ensuring high accuracy against gold-standard published evidence for major pharmaceutical use cases.
Who this is a fit for
- Proven track record of rigorous systems-level ML research with publications at top-tier venues like NeurIPS, ICML, ACL, or EMNLP.
- Experience at a frontier AI lab such as DeepMind, OpenAI, or Anthropic, or a leading academic research group at institutions like Cambridge, Stanford, or UCL.
- Strong engineering fundamentals with the ability to bridge the gap between theoretical research and building scalable, production-ready scientific discovery tools.
Why this role is remarkable
- High-equity founding role with total ownership over the research agenda and technical roadmap from day zero.
- Backed by Tyler Cowen’s Emergent Ventures, tackling a massive market with a benchmarked product that completes months of manual work in hours.
- Opportunity to publish novel frameworks in scientific NLP and evidence extraction while building a product with immediate clinical and pharmaceutical impact.
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