Senior AI Researcher - Deep Reinforcement Learning (Medical Devices)

Job Description

Job Description

Senior AI Researcher - Deep Reinforcement Learning (Medical Devices)

A pioneering force in the development of cutting-edge medical devices, leveraging the power of Artificial Intelligence to revolutionize patient care. We are seeking a highly motivated and experienced AI Researcher with a strong background in Deep Reinforcement Learning (Deep RL) and a proven track record of innovation in the medical device field, evidenced by granted patents.

About the Role:

As an AI Researcher, you will be at the forefront of developing and implementing advanced Deep RL algorithms to enhance the functionality and efficacy of our medical devices. You will work closely with a multidisciplinary team of engineers, clinicians, and regulatory experts to translate research into impactful real-world solutions. Your expertise in Deep RL will be crucial in optimizing device performance, personalizing treatment protocols, and developing novel diagnostic and therapeutic applications.

Responsibilities:

• Design, develop, and implement state-of-the-art Deep RL algorithms for medical device applications.
• Conduct rigorous experimentation and evaluation of developed algorithms using simulated and real-world data.
• Collaborate with engineers and clinicians to integrate Deep RL models into medical devices and workflows.
• Contribute to the development of intellectual property, including patent applications and publications.
• Stay abreast of the latest advancements in Deep RL and related fields, and identify opportunities for innovation.
• Analyze and interpret complex datasets from medical devices and clinical studies.
• Document research findings and present results to internal and external stakeholders.
• Contribute to the development of validation and verification protocols for AI-enabled medical devices.

Qualifications:

• Ph.D. or M.S. in Computer Science, Artificial Intelligence, Robotics, Biomedical Engineering, or a related field.
• Extensive experience with Deep RL algorithms and frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of reinforcement learning concepts, including Markov Decision Processes (MDPs), policy optimization, and value function approximation.
• Proven track record of developing and implementing Deep RL solutions for complex problems.
• Demonstrated experience in applying AI to medical devices or healthcare applications.
• Significant experience with patent applications related to medical devices, particularly in AI-driven technologies.
• Strong programming skills in Python and other relevant languages.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Strong problem-solving and analytical skills.
• Familiarity with medical device regulatory requirements (e.g., FDA, CE) is a plus.
• Experience in clinical data analysis is a plus.

Preferred Skills:

• Experience with simulation environments for medical device development.
• Knowledge of medical imaging and signal processing.
• Experience with real time control systems.
• Experience with federated learning.

Benefits:

• Competitive salary and benefits package.
• Opportunity to work on cutting-edge technology with a significant impact on patient care.
• Collaborative and innovative work environment.
• Opportunities for professional growth and development.
• Contribution to the development of next generation medical devices.

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