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Orakl Oncology

AI-driven tumor modeling for personalized oncology

Senior Scientist - Organoid Model Development

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeVillejuif, FranceNo salary listedIn-person

About the Job

Requirements

  • A PhD in cancer biology, molecular biology, cell biology, biotechnology, or a related field, and at least 5 years of hands-on experience, including industry or translational settings.
  • Hands-on experience establishing NSCLC patient-derived organoids from fresh surgical specimens, including tissue handling, dissociation, embedding, and long-term expansion.
  • Experience in primary tumour culture, including troubleshooting low take-rates and donor-to-donor variability, and optimizing media formulation, matrix selection, passaging strategies, and cryopreservation.
  • Strong wet-lab fundamentals, including sterile technique, routine culture, assay development, and quality control.
  • Experience building scientific direction, owning quality-control and characterisation strategy, and making decisions.
  • Ability to independently plan, prioritise, and execute complex experimental pipelines with high quality and reproducibility.
  • Analytical and quantitative data-interpretation skills, with clear documentation and reporting.

Responsibilities

  • Establish patient-derived organoids from fresh surgical specimens, starting with NSCLC and extending to additional tumour types, from tissue receipt and dissociation through stable, well-characterised lines ready for downstream applications.
  • Develop and optimise robust culture protocols, ensure reproducibility across donors, and generate high-quality biological models for the predictive engine and partnerships with hospitals and pharmaceutical companies.

Desired Qualifications

  • Direct experience collaborating with hospitals, pathology departments, or surgical teams on biospecimen workflows.
  • Experience with drug-response profiling in organoids, including dose-response, time-course, and combination assays.
  • Knowledge of molecular biology techniques and next-generation sequencing workflows, including whole-exome sequencing and RNA sequencing, for organoid characterisation and tumour-organoid concordance.
  • Previous responsibility for managing contract research organisations or academic collaborations.
  • Experience mentoring junior scientists or laboratory technicians, and establishing lab standards.

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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