Applied Healthcare AI Research Fellow
hace 2 días
About Qure.AI:Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura.Qure.AI is an equal opportunity employer. is a leading Healthcare Artificial Intelligence (AI) company disrupting the ‘status quo’ by enhancing diagnostic imaging and improving health outcomes with the assistance of machine-supported tools. taps deep learning technology to provide an automated interpretation of radiology exams like X-rays, and CT scans for time and resource-strapped medical imaging professionals, enabling faster diagnosis and speed to treatment. aims to democratize healthcare by improving accuracy, accessibility, and affordability to patients worldwide. Founded in 2016, we apply the latest AI research to healthcare problems and develop innovative solutions that are revolutionizing the way patients are diagnosed and treated. Our solutions have impacted more than 38 million lives, deployed in 106+ countries, and 4800+ sites globally. is an equal opportunity employer.About the jobJob Title:Applied Healthcare AI Research Fellow (Europe-Based)Department:LifesciencesLocation:EuropeYears of Experience:2+yearsEmployment Type:Contract with possibility to full timeKey RelationshipsDirector of Medical StrategyJob DescriptionWe are seeking a highly motivated Applied Healthcare AI Research Fellow to join our European AI research team. This role is designed for an individual who will act as the primary on-ground scientific and operational liaison for multi-institutional AI research initiatives focused on respiratory and thoracic diseases.The fellow will work at the intersection of artificial intelligence, clinical research, and healthcare implementation, collaborating closely with academic universities, radiologists, pulmonologists, oncologists, and hospital research teams across Europe. The role combines academic rigor, clinical engagement, and hands-on operational execution of real-world and prospective research studies.This position is ideally suited for a candidate who enjoys field-based research, interdisciplinary collaboration, and translating AI research into real-world clinical workflows.Roles and Responsibilities1. Clinical & Academic CollaborationAct as the scientific representative at partnerEuropean universities and research centres.Engage periodically withradiologists, pulmonologists, thoracic surgeons, oncologists, and research coordinators.Help in Operational aspects and coordination with technical teams.Support onboarding of new academic and clinical collaborators into AI-enabled research projects.2. Study Operations & ImplementationSupport operational aspects of multi-site research studies, including:Site initiation and coordinationWorkflow alignment between clinical teams and technical teamsStudy monitoring and documentation supportAssist with implementation of AI tools within clinical research settings, ensuring adherence to protocol and ethical standards.Coordinate logistics for site visits, investigator meetings, and training sessions.3. Research & Scientific ResponsibilitiesSupportdesign, review, and execution of AI-driven clinical research studies,Assist in drafting and reviewing:Study protocolsInstitutional Review Board (IRB)/Ethics Committee submissionsSupport preparation ofscientific manuscripts, abstracts, posters, and conference submissions.4. Travel & Field EngagementTravel frequently across European countries to:Visit collaborating sitesAttend in-person meetings with clinical investigatorsSupport study initiation and follow-up activitiesParticipate in regional and international scientific meetings and workshops when required.Skills & ExpertisePrior experience working with or alongside clinicians (radiologists, pulmonologists, oncologists etc).Familiarity with:Clinical research methodologiesIRB / Ethics Committee processesClinical trial or observational study operationsKnowledge of medical imaging and AI applications in healthcare is a strong advantage.Ability to bridge technical, clinical, and operational teams.Strong written and verbal communication skills in English (additional European languages are an advantage).Eligibility & MobilityCandidate must bebased in European Unionand eligible to travel freely within EuropeWillingness and capability to travel frequently as part of the role is essential.Personal AttributesStrong interpersonal and stakeholder-management skillsSelf-driven, organized, and capable of managing multiple projects simultaneouslyKeen interest in translating research into real-world clinical impactQualification:Masters or PhD (ongoing or completed) in relevant field/sRelated interdisciplinary fields combining AI and life sciencesStrong academic background with prior involvement inapplied research.Demonstrated ability to understand and discussclinical concepts with healthcare professionals.What We OfferOpportunity to work oncutting-edge AI applicationsCollaboration with leading European academic institutions and cliniciansExposure to high-impact, multi-country clinical research programsStrong academic and professional growth opportunities at the interface of AI, medicine, and implementation scienceCan be included as an AI project for their ongoing curricular pursuit.How to ApplyInterested candidates should submit:A detailed CV & Brief Cover Letter explaining motivation and relevant experienceAt You will be part of a rapidly growing team, with an opportunity to work alongside the best minds in the industry. The chance to work on real problems that impact lives globally. xsgfvud Competitive compensation and rewards, opportunity to lead, grow and define how design shapes healthcare experiences globally.Inclusive workspace:By submitting your information and application, you confirm that you have read and agree to the Applicant Privacy Policy:
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Barcelona, España Qure.ai A tiempo completois a leading Healthcare Artificial Intelligence (AI) company disrupting the ‘status quo’ by enhancing diagnostic imaging and improving health outcomes with the assistance of machine-supported tools. taps deep learning technology to provide an automated interpretation of radiology exams like X-rays, and CT scans for time and resource-strapped medical...
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