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Orakl Oncology

AI-driven tumor modeling for personalized oncology

Lab Automation Lead

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedHybrid

About the Job

Requirements

  • An engineering degree in generalist, robotics, industrial, mechanical, or process engineering, or equivalent, and at least eight years of experience.
  • Strong process-thinking skills, including mapping flows, timing operations, identifying bottlenecks, and questioning processes.
  • Experience negotiating with suppliers and owning budgets for projects.
  • Experience with programmable logic controller and robot programming concepts, scheduling software, instrument interfaces, and basic scripting.
  • Comfort spending time on the floor with operators and experience communicating and working with engineers, technicians, and workers in production processes.
  • Fluency in English.

Responsibilities

  • Map cell-culture workflows end to end and identify process-automation and optimisation opportunities.
  • Own the automation roadmap, present major decisions to leadership, and lead their implementation.
  • Evaluate vendors and integrators; write user requirement specifications, acceptance criteria, and interface requirements for each project.
  • Negotiate price, scope, delivery, acceptance, support, and consumables terms within agreed thresholds.
  • Lead design reviews and factory and site acceptance tests.
  • Translate proprietary cell-culture protocols into automated machine execution with cell biologists and scientists.
  • Track machine availability, hands-on time per line, interventions, failures, and recovery time, and use the data to decide next steps.
  • Coordinate with management to anticipate future automation needs and adjust the roadmap.
  • Hire and develop the automation technicians and engineers needed for the roadmap.
  • Set standards for the automated platform, including documentation, quality control, safety, qualification, change control, and vendor management.

Desired Qualifications

  • Experience putting automated lines, cells, or special machines into service end to end, including requirements, vendor selection, negotiation, integration, factory and site acceptance, ramp-up, and budget; relevant experience may come from a plant, food and fermentation, pharma, or cosmetics environment.
  • Experience with automation in life-science or regulated environments, such as cell culture, biotech, food and fermentation, pharma, cleanroom, or BSL-2 work.
  • A working understanding of cell culture and its requirements, including sterility, contamination risk, sample variability, and biologically paced steps.
  • Experience with liquid handling, plate-based workflows, incubators and imagers, and laboratory scheduling software.
  • Experience hiring and leading an automation team.

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
Seed
Total funding
$15.4M
Headquarters
Paris, France
Founded
2023

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