{"id":1189431,"url":"https://alion.io/job/deephealth-senior-research-scientist","title":"Senior Research Scientist","company":{"id":692266,"name":"Deephealth","domain":"deephealth.com","url":"https://alion.io/company/deephealth","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"B","score":78,"open_postings":8,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":97000,"max_usd":195000,"period":"year","method":"role_seniority_country_cell","sample_n":25},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2026-09-24T14:07:19Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T15:48:39Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nThe 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.\nEssential Duties and Responsibilities\nDefine and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme.\n\nTrack and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging.\n\nDesign and prototype novel model architectures for multimodal medical imaging data.\n\nDevelop experimental systems to validate research hypotheses and measure progress against scientific goals.\n\nEstablish and maintain benchmarking frameworks across downstream clinical and technical tasks.\n\nCollaborate with engineering teams to translate research advances into deployable solutions.\n\nLead scientific publications and conference contributions that communicate DeepHealth research results.\n\nEngage with external research collaborators, including partners at Imperial College London.\n\nMentor researchers and contribute to research quality standards within the ML Capabilities team.\n\nDocument methods, experiments, and findings to support reproducibility, review, and knowledge transfer.\n\nPLEASE 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.\nRequirements\nMinimum Qualifications, Education and Experience\nPhD in Machine Learning, Computer Science, or a related field (required).\n\nStrong publication record at top machine learning venues (for example, NeurIPS, ICML, ICLR) (required).\n\nExpertise in deep learning and generative models (required).\n\nExperience designing and evaluating machine learning systems (required).\n\nPreferred: Experience in medical imaging or healthcare AI.\n\nPreferred: Familiarity with multimodal learning.\n\nPreferred: Experience mentoring or leading research projects.\n\nQuality Standards\nCommunicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors.\n\nDemonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.\n\nFollows all local, regional and country laws concerning employment.\n\nFollows all DeepHealth policies and procedures.\n\nFollows data privacy, compliance, safety and confidentiality standards at all times.\n\nPractices universal safety precautions.\n\nPromotes good public relations on the phone and in person.\n\nAdapts and is willing to learn new tasks, methods, and systems.\n\nReports 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.\n\nCompletes job responsibilities in a quality and timely manner.\n\nTravel\nThis position requires domestic / international travel up to 10%.\nWorking Environment\nHybrid/Remote.","description_format":"text","description_chars":3439,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Digital Health","Medical AI"],"lifecycle":[{"event":"open","at":"2026-09-24T15:48:39Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":25,"reasons":["conf:1","win:early"],"computed_at":"2026-09-24T17:47:47Z"},"pay":null,"html_url":"https://alion.io/job/deephealth-senior-research-scientist","json_url":"https://alion.io/job/deephealth-senior-research-scientist.json","meta":{"generated_at":"2026-09-24T17:47:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}