Provides quality physical therapy services to most diagnoses, including evaluation, intervention and education, program planning and implementation, discharge planning, related documentation and communication.
Responsibilities
Plan, organize and adjust the daily schedule to optimally use available time, space and equipment in order to provide the best possible treatment.
Utilize the appropriate treatment techniques, based on the latest information available and standards of practice, for selected diagnosis to create and meet the plan of treatment.
Maintains sufficient supplies and materials, in working order, for each treatment session.
Keeps treatment area clean and organized.
Use appropriate tests and measurements for the patient’s age and problems that lead to an accurate understanding of the problems.
Requirements
B.S., entry level M.S., or dPT degree in physical therapy
Effectuer tous les réglages, les câblages et les raccordements nécessaires
Mettre en place le système de programmation
Opèrer une série de tests pour vérifier l’efficacité des installations : vidéo surveillance, capteur de mouvements, sirène, caméras, détecteur de fumée, contrôles d’accès
Lead research and evaluation of clinical AI systems, providing technical guidance to regulatory affairs and driving reusable evaluation assets.
Compensation
The annual base pay for this position ranges from $ 124 713,60 - 187 070,40 USD Annual. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Design and run evaluations of LLM-based and agentic clinical systems
Build reusable evaluation assets such as test sets, scoring rubrics, annotation protocols
Study AI output impact on clinical judgment through expert-agreement and user studies
Investigate failures using traces, logs, qualitative review, and quantitative analysis
Publish and communicate findings internally and externally
Requirements
PhD in Machine Learning, Computer Science, NLP, Information Science, Biomedical Informatics, Statistics, or a related quantitative discipline
Lead AI research and evaluation for clinical AI systems, providing technical guidance to regulatory affairs and building reusable evaluation assets.
Compensation
The annual base pay for this position ranges from $ 124 713,60 - 187 070,40 USD Annual. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Design and run evaluations of LLM-based and agentic clinical systems
Build reusable evaluation assets
Study AI output impact on clinical judgment
Investigate failures and translate findings into improvements
Publish and communicate findings
Requirements
PhD in Machine Learning, Computer Science, NLP, Information Science, Biomedical Informatics, Statistics, or a related quantitative discipline
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