Job Overview
Location
Europe
Job Type
Full-time
Category
Data Science
Date Posted
June 19, 2026
Full Job Description
đź“‹ Description
- • Lead cutting-edge AI research focused on developing clinically validated, real-time AI systems for healthcare delivery, specifically in physical therapy, women’s health, cardiometabolic, and mental health domains.
- • Design and implement novel machine learning architectures that enable AI-driven therapeutic interventions, including movement analysis, psychotherapy support, nutrition guidance, and behavior change modeling.
- • Collaborate with clinical teams to ensure AI models adhere to medical safety standards, regulatory requirements, and evidence-based care protocols validated by 42 clinical studies.
- • Develop AI systems that operate 24/7 as part of a fully AI-native care program, replacing traditional session-based models with continuous, personalized patient support.
- • Analyze and interpret multimodal data streams—including video motion capture, sensor data, patient-reported outcomes, and behavioral logs—to train models that accurately assess patient progress and adapt interventions in real time.
- • Publish research findings in peer-reviewed journals and present at international conferences to establish Sword as a thought leader in AI-driven healthcare innovation.
- • Work closely with engineering and product teams to translate research prototypes into scalable, production-grade AI features integrated into Sword’s global platform used by over 700,000 members.
- • Ensure all AI systems are designed with patient privacy, data security, and ethical AI principles at their core, aligning with global healthcare compliance standards.
- • Contribute to the development of 44+ patented AI technologies by identifying new research directions that enhance diagnostic accuracy, treatment personalization, and clinical outcomes.
- • Engage with enterprise clients to understand real-world clinical needs and translate them into research priorities that reduce unnecessary healthcare costs and improve patient access.
- • Maintain deep alignment with Sword’s mission to remove barriers to care—such as appointments, waiting rooms, and stigma—by building AI systems that are accessible, stigma-free, and universally usable.
- • Participate in cross-functional teams to evaluate the impact of AI interventions on patient adherence, recovery speed, and long-term health outcomes across multiple conditions.
- • Stay current with advancements in AI, clinical science, and digital therapeutics to ensure Sword’s research remains at the forefront of medical AI innovation.
🎯 Requirements
- • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a focus on healthcare applications
- • Proven track record of publishing peer-reviewed research in top-tier AI or medical AI conferences/journals
- • Expertise in developing and deploying deep learning models for multimodal data (e.g., video, sensor, text)
- • Experience working with clinical data and understanding healthcare regulatory environments (e.g., HIPAA, GDPR, CE marking)
- • Strong programming skills in Python and familiarity with PyTorch, TensorFlow, or similar frameworks
- • Demonstrated ability to translate research into scalable, production AI systems
🏖️ Benefits
- • Fully remote position with flexibility across Europe and the UK
- • Competitive salary and equity package
- • Access to cutting-edge AI healthcare technology and clinical datasets
- • Opportunities to publish and present research at international conferences
Skills & Technologies
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About Sword Health, Inc.
Sword Health is a digital musculoskeletal care company that delivers virtual physical therapy and behavioral health programs through AI-guided technology and clinical specialists. The platform pairs members with licensed physical therapists and health coaches to treat back, joint, neck, and muscle pain without surgery or opioids. Combining motion-tracking sensors, mobile apps, and personalized care plans, it serves employers, health plans, and individuals across the United States and Europe. Founded in 2015, the company aims to reduce costs, improve outcomes, and expand access to evidence-based rehabilitation and chronic pain management at scale.
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