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Computational Linguist Project Manager (Biomedicine)
at Causaly

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  • London
  • fulltime


Causaly is developing the world’s biggest data platform for Cause and Effect evidence in Biomedicine using AI Machine-Reading technology. The technology is self-developed and proprietary, powering a massive Biomedical Causal Knowledge Graph. We help researchers and decision-makers to discover insights from 30,000,000 academic publications, in minutes. Causaly is used by Pharmaceutical companies and Academia in Research and Commercial departments, for Drug Discovery and Drug Safety.

Our machine-reading platform is comprised of a variety of Natural Language Processing and Computational Linguistics algorithms among which are information and relationship extraction, entity linking, knowledge inference and relational learning, abbreviation- and coreference resolution. Having machine-read tens of millions of academic documents, our platform processes hundreds of thousands of new documents on a monthly basis. The platform turns free-flow text into causal knowledge graphs and applies machine learning to surface new knowledge.

We are a VC-backed tech company with offices in London and Athens, looking for an experienced Product Owner for the Information extraction pipeline with a passion for computational linguistics.

See here why we love what we do:


  • Work with the lead PO to develop a view on how humans can express affect-relationships in English language in the biomedical domain.
  • Identify patterns in linguistic expressions and develop rules for the engineering team to implement in code.
  • Prioritize which rules to implement in what sequence based on their beneficial effect on the information extraction task as well as the effort required for their implementation.
  • Perform quality assurance on the extracted information, and further refine your rules to improve precision and recall
  • Manage the time and resources together with the engineering team, set milestones, and plan delivery together with the lead PO.


Minimum qualifications:

  • An BSc/MSc in Computational Linguistics or Linguistics
  • Excellent understanding of Universal Dependencies and English syntax
  • Excellent project management and planning skills
  • Proven experience working with Engineers and Knowledge Experts for building an Information Extraction product

Preferred qualifications

  • Ability to create dependency trees for any given sentence on paper on the fly
  • Previous working experience as a Analyst working through large datasets to identify patterns
  • Proficiency with data analysis tools such as Excel Pivot tables
  • Excellent problem-solving and analytical skills
  • Excellent team player with effective communication and interpersonal skills


  • Competitive salary and equity option package
  • Be part of the early team that builds a transformative knowledge product with the potential to have real impact
  • Individual training budget for professional development

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