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Salary
≈ $108k – $201k per year (Estimated)
Location
In office (London)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 28, 2026.

Overview
Company
Impact
Profile match
Aidence provides AI radiology solutions for the lung cancer pathway, empowering physicians to deliver better patient care. RadNet subsidiary.
Backed by North Zone, Inkef

Join DeepHealth, a leading company in the field of medical imaging and AI. As a Senior Research Scientist, you will be at the forefront of advancing research in machine learning for medical imaging, specifically focusing on foundation models in radiology AI. You will design novel model architectures, develop experimental systems to test research hypotheses, and help translate research into solutions that support clinical applications. This role offers the opportunity to collaborate with esteemed research partners, such as Imperial College London, and make a significant impact in the field of healthcare.

Missions

  • Definir y dirigir la hoja de ruta científica para modelos fundamentales en imágenes médicas dentro del programa de Capacidades de ML.
  • Diseñar y prototipar arquitecturas de modelos novedosos para datos de imágenes médicas multimodales.
  • Colaborar con equipos de ingeniería para traducir los avances de la investigación en soluciones implementables.

Profil recherché

- Strong publication record at top machine learning venues (for example, NeurIPS, ICML, ICLR) (required)

- Preferred: Familiarity with multimodal learning

- Experience designing and evaluating machine learning systems (required)

- Preferred: Experience in medical imaging or healthcare AI

- PhD in Machine Learning, Computer Science, or a related field (required)

- Preferred: Experience mentoring or leading research projects

- Expertise in deep learning and generative models (required)

- Follows all DeepHealth policies and procedures

- Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors

- Completes job responsibilities in a quality and timely manner

- Follows data privacy, compliance, safety and confidentiality standards at all times

- Practices universal safety precautions

- Adapts and is willing to learn new tasks, methods, and systems

- Follows all local, regional and country laws concerning employment

- Promotes good public relations on the phone and in person

- Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance

- Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines

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