AI + Cancer - Senior Advisory Board Member

Job Description

AI + Cancer – Advisory Board Member\n

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About the Opportunity

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A cutting-edge spin-off from a world-renowned European academic institution is working where Artificial Intelligence, DNA and Oncology meet. Its science has been published in The Lancet Respiratory Medicine . The company is completing its Advisory Board and is now opening the AI Seat .

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The company is led by a US CEO with decades of experience in senior leadership positions across big pharma and CROs. The CEO has a track record of commercializing innovative assets across several therapeutic areas. The company is also supported, in different capacities, by President- and CEO-level leaders from big pharma and advanced analytics, alongside a Clinical Advisory Board of leading oncologists.

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This is an Advisory Board position involving periodic strategic engagement rather than full-time employment.

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The Vision

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Cancer medicine is being reshaped by three converging trends:

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• Precision medicine: moving from treating the average patient to choosing the right treatment for each individual.
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• Reading cancer through DNA: DNA, and the chemical marks on it, carry a living record of how a cancer behaves and how the body responds to it.
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• Artificial intelligence: models that find patterns in DNA sequences and in the interactions between a medicine, the tumor, the surrounding tissue and the immune system, to help win the fight against cancer.
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The company sits where these three trends meet. Its ambition is a platform that reads a patient's DNA from a blood sample and uses AI to guide decisions across the course of cancer care: before, during and after treatment.

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First Applications

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• Predicting, before the first dose, whether cancer immunotherapy is likely to work
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• Identifying patients at risk of metastasis
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• Detecting early signs of relapse
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Advisory Board Seat

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AI Seat

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The AI Seat brings an independent perspective on the questions that will define AI in cancer medicine over the next decade:

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• Foundation models for biology: how DNA and epigenetic foundation models will change the way cancer is read from a blood sample.
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• Multimodal AI: bringing together blood-based DNA signals, imaging, pathology and clinical history into a single, clinically meaningful prediction.
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• AI that travels: making models perform reliably across hospitals, countries, patient populations and sequencing technologies.
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• Learning diagnostics: how AI that improves over time fits emerging regulation, from the FDA's evolving framework for adaptive AI to the EU AI Act.
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• Privacy-preserving AI: learning across hospitals worldwide without moving patient data.
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• AI in drug development: using response prediction to select patients and design smarter clinical trials with pharmaceutical partners.
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• Lasting advantage: where enduring value sits in AI-driven medicine, whether in data, models or clinical evidence.
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Minimum Qualifications

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Candidates must have held a Chief AI Officer, Vice President, Senior Vice President, President or equivalent leadership position, with responsibility for AI strategy. This should be within a leading technology, pharmaceutical, biotechnology or diagnostics organization, or a leading AI research institution.

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Preferred Areas of Expertise

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• AI Strategy
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• Foundation Models and Generative AI
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• AI in Healthcare and Life Sciences
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• Oncology and Immuno-Oncology
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• Genomics and Precision Medicine
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• AI Regulation and Responsible AI
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• Strategic Partnering
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Ideal Profile

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An AI leader with a worldwide reputation, who brings:

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• a track record of taking AI from research to real-world impact at scale;
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• a recognized voice in how AI is shaping medicine and the life sciences;
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• a network spanning frontier AI, academia and the pharmaceutical industry.
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The Advisory Board will appoint the selected candidate based on leadership experience, track record and strategic expertise.

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Ideal candidates come from leading AI labs, global technology companies or AI-driven life sciences organizations.

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