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Orakl Oncology

AI-driven tumor modeling for personalized oncology

Laboratory Technician

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A BSc or equivalent degree, such as BTS, BUT, or Licence, in cellular biology, biotechnology, or a related discipline.
  • Hands-on experience in mammalian cell culture, 3D cell culture, and preferably organoid culture.
  • Hands-on experience in drug screening assays or viability assessment assays.
  • Exceptional attention to detail and organisational rigour.
  • Flexibility and an interest in overcoming operational challenges.
  • Enthusiasm for teamwork and learning.
  • Ability to communicate clearly in English in an international team; fluency in English is required.
  • Genuine curiosity for cancer biology.
  • Strong collaboration and communication skills for interacting in an interdisciplinary setting with biologists, machine learning engineers, and researchers.
  • Previous experience working in cancer biology.

Responsibilities

  • Perform large-scale drug screening assays on a semi-automated platform for internal or external projects.
  • Manage patient-derived organoids of interest and perform drug screening assays to generate high-quality, robust datasets for data science and computational biology teams to deliver insights and decision-support data to partners.
  • Work with patient specimens and organoid cell lines to expand the Orakl biobank and increase data collection.
  • Contribute ideas and approaches to improve automation and accelerate workflows in 3D cell culture and drug screening experiments.
  • Maintain laboratory operations, documentation, and activity traceability, and anticipate consumables and reagent needs.

About the Company

Orakl Oncology

AI-driven tumor modeling for personalized oncology

Orakl Oncology uses artificial intelligence to analyze experimental and patient data to build tumor models that mirror real drug responses, enabling personalized medicine in oncology. Its AI-powered data analysis identifies cancer biology patterns and translates them into tumor models, which collaborators in the oncology field can use to test and tailor treatments. The product works by integrating diverse data sources and applying AI to simulate how tumors react to different drugs, producing insights and predictive models for decision-making. Compared to competitors, Orakl Oncology focuses on combining AI with both experimental and patient data to create highly representative tumor models and to support B2B partnerships with other oncology companies, not consumer-facing applications. The company aims to help clients develop more effective, personalized cancer therapies by providing data-driven models and analyses that accelerate drug development and precision treatment strategies.

Company size
11-50
Company stage
Series A
Total funding
$49.4M
Headquarters
Paris, France
Founded
2023

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