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Jack & Jill AI

Research Co-Founder (Equity Only) at Periscopiclabs.com

Posted 3 Days Ago
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Hybrid
London, Greater London, England, GBR
Expert/Leader
Hybrid
London, Greater London, England, GBR
Expert/Leader
As a Research Co-Founder, you'll lead the scientific and machine learning core, architecting systems for biomedical research and managing evidence extraction frameworks.
The summary above was generated by AI

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network

The next step is to speak to Jack.

Job Title: Research Co-Founder

Company Description: Periscopiclabs.com - Emergent Ventures backed biomedical research platform

Job Description:
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.

Location: London, UK

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.

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.

The ideal candidate:

  • 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.

Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Top Skills

Evidence Extraction
Knowledge Representation Systems
Machine Learning
Ontology Mapping
Retrieval-Augmented Generation
Scientific Nlp

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