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Research Lead, Predictive Oncology

CompraTica Empleos

EMP:Management
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Orakl OncologyAt Orakl Oncology, we combine patient-derived tumor models, experimental drug screening and computational modelling to improve oncology drug development

Our research brings together functional treatment-response measurements, molecular profiles and clinical information where available, creating opportunities to investigate how experimental responses translate into patient outcomes.

Our platforms are designed to help anticipate clinical trial outcomes, evaluate therapies and identify new therapeutic opportunities.

Our mission is simple yet ambitious: to bring more effective treatments to patients who need them and to make drug development smarter, faster, and more personalised.

We collaborate with top hospitals, research institutes, and pharmaceutical companies worldwide.

Backed by leading investors, we are a fast-growing, mission-driven startup at the intersection of science and technology.

About the RoleWe are looking for a Research Lead - Predictive Oncology, to build and lead a research programme to improve the translational capabilities of Orakl Oncology’s platform, and to provide the scientific backbone of O-Predict, Orakl’s predictive solutions.

You will own O-Predict's long-term scientific roadmap, choose the questions we pursue, and lead the work needed to answer them.

The opportunity combines access to Orakl's experimental and molecular data, clinical information where available, and the ability to shape future data generation with our experimental and clinical collaborators.

This is a hands-on scientific leadership role.

You will develop and test methods, mentor contributors, and build a coherent body of research with a recognisable scientific contribution.

Publications, presentations and external collaborations will be integral outputs of that programme.

You will work closely with the CTO and our Data Science, Computational Biology, experimental, product and engineering colleagues.

Your research will establish which predictions are reli.

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