Senior Research Scientist
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 16d ago
The date the source published, not the day we noticed it (2026-09-24). Last seen at its source 1h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £66.6k–100.8k/yr
Middle 50% of 23 listings that do state pay — Operations · all levels · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Recruitee employer's own board first seen 5d ago · last seen 1h ago
The listing
Job Summary
The Senior Research Scientist sits on DeepHealth's ML Capabilities team and advances research in machine learning for medical imaging, with a focus on foundation models in radiology AI. This role designs novel model architectures, develops experimental systems to test research hypotheses, and helps translate research into solutions that support clinical applications. The work draws on DeepHealth's large-scale imaging data and expert feedback loops and includes collaboration with research partners such as Imperial College London.
Essential Duties and Responsibilities
Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme.
Track and evaluate developments in machine learning and generative AI 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 that communicate DeepHealth research results.
Engage with external research collaborators, including partners at Imperial College London.
Mentor researchers and contribute to research quality standards within the ML Capabilities team.
Document methods, experiments, and findings to support reproducibility, review, and knowledge transfer.
PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.
Minimum Qualifications, Education and Experience
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).
Preferred: Experience in medical imaging or healthcare AI.
Preferred: Familiarity with multimodal learning.
Preferred: Experience mentoring or leading research projects.
Quality Standards
Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.
Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
Follows all local, regional and country laws concerning employment.
Follows all DeepHealth policies and procedures.
Follows data privacy, compliance, safety and confidentiality standards at all times.
Practices universal safety precautions.
Promotes good public relations on the phone and in person.
Adapts and is willing to learn new tasks, methods, and systems.
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.
Completes job responsibilities in a quality and timely manner.
Travel
This position requires domestic / international travel up to 10%.
Working Environment
Hybrid/Remote.