Job description
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.
Requirements
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.
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.