Senior Research Scientist

DeepHealth

. Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme .

Posted 9/24/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deep learning and generative models, with a strong publication record in top machine learning venues. Capable of designing and evaluating machine learning systems, particularly in the context of multimodal medical imaging and healthcare AI.

Highest-signal resume keywords

PhD In Machine LearningDeep Learning ExpertiseGenerative Models ExperienceMachine Learning System DesignMedical Imaging Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningGenerative AIMultimodal LearningModel Architecture DesignBenchmarking FrameworksExperimental System DevelopmentResearch Hypothesis ValidationScientific PublicationData Privacy ComplianceResearch Quality Standards

Soft Skills

MentoringCollaborationCommunication

Industry Keywords

Medical ImagingHealthcare AIData PrivacyCompliance StandardsResearch Collaboration

About the role

Key responsibilities & impact

Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme
Track and evaluate machine learning and generative AI developments relevant to radiology and multimodal imaging
Design and prototype novel model architectures for multimodal medical imaging data
Develop experimental systems to validate research hypotheses and measure progress against scientific goals
Establish and maintain benchmarking frameworks across downstream clinical and technical tasks
Collaborate with engineering teams to translate research advances into deployable solutions
Lead scientific publications and conference contributions communicating DeepHealth research results
Engage with external research collaborators, including Imperial College London partners
Mentor researchers and contribute to research quality standards
Document methods, experiments, and findings for reproducibility, review, and knowledge transfer

Requirements

What you’ll need

PhD in Machine Learning, Computer Science, or a related field (required)
Strong publication record at top machine learning venues, for example NeurIPS, ICML, ICLR (required)
Expertise in deep learning and generative models (required)
Experience designing and evaluating machine learning systems (required)
Familiarity with multimodal learning (preferred)
Experience in medical imaging or healthcare AI (preferred)
Experience mentoring or leading research projects (preferred)
Follows data privacy, compliance, safety and confidentiality standards
Follows all local, regional and country laws concerning employment
Ability to travel domestically/internationally up to 10%

Benefits

Comp & perks

Domestic/international travel up to 10%
Hybrid/remote working arrangement