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Automation Lead

Orakl Oncology VillejuifEst. Est. EUR 60,000–90,000 / yearSenior

Estimated range based on role, country and industry — not published by the company.

About us, and our mission At Orakl Oncology, we are accelerating the development of oncology treatments. Today, fewer than 5% of new cancer drugs succeed in clinical trials. Clearly, new methods are needed. We combine cutting-edge biology and AI to build the next generation of insight platforms with a large cohort of patient-derived tumor avatars. These avatars fuel our predictive engine, helping to anticipate clinical outcomes, validate therapies and uncover new drug candidates. By generating multimodal, real-world data, we aim to make drug development smarter, faster and more personalized. We collaborate with leading hospitals, research institutes and pharmaceutical companies. Backed by leading investors, Orakl is a fast-growing, mission-driven startup at the intersection of biology, automation and AI. Position overview Orakl runs a high-throughput 3D cell‑culture platform to culture patient-derived organoids (PDOs). These patient-derived specimens reveal critical information into the patient disease, but require heavy maintenance work. Automating these workflows will be critical to improve the reliability and traceability of experimental work. We are hiring our first automation lead to build the Automation function from scratch. This is a high ownership and high autonomy job. You will map our processes, decide what to automate and what to leave alone, specify and source the equipment, negotiate with vendors and integrators, commission the machines, run them with the lab team, and hire the people the function needs. As the ideal candidate, you have already put automated lines or special machines into service, and you know what typically breaks between commissioning and the first experimental runs. While previous experience in biology is a plus, it is not a strict requirement: you will be taught all you need to know. However, you do need a proven experience in working deeply embedded in interdisciplinary teams. Key responsibilities Map cell culture workflows end to end and identify key process automation and optimisation opportunities. Own the automation roadmap. Present and lead the implementation of the major decisions to Orakl’s leadership. In line with the automation strategy you will have identified, 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 autonomously within agreed thresholds. Lead design reviews and factory and site acceptance tests. Translate our proprietary cell culture protocols into automated machine execution with our team of cell biologists and scientists. Track machine availability, hands-on time per line, interventions, failures and recovery time. Use the data to decide the next step. Coordinate with Orakl’s management to anticipate future automation needs on the platform and adjust the roadmap accordingly. Hire and develop the automation technicians and engineers the roadmap needs. Set the standards for the automated platform: documentation, quality control, safety, qualification, change control, vendor management. In this role you will collaborate closely with our cell culture, cell biology and data science teams. You will be at the heart of Orakl Oncology’s capabilities roadmap and help generate unprecedented amounts of biological data to power scientific discovery in cancer. Key qualifications Must-have Engineering degree (generalist, robotics, industrial, mechanical or process engineering) or equivalent, and at least eight years of experience. Exceptional process thinking skills: you map flows, time operations, find bottlenecks and question the processes. Experience in supplier negotiation and budget ownership on your own projects. Experience in PLC and robot programming concepts, scheduling software, instrument interfaces, basic scripting. You enjoy and are comfortable spending time on th

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