Job Description

Associate / Senior Associate / Manager, Clinical AI

Brief Summary

We are seeking a highly skilled and experienced Associate / Senior Associate / Manager, Clinical AI to join our team. The successful candidate will be responsible for developing and implementing artificial intelligence and machine learning solutions to improve patient outcomes and streamline clinical workflows. This is an exciting opportunity to work at the forefront of healthcare innovation and make a meaningful impact on the lives of patients and healthcare professionals.

Key Responsibilities

• Design, develop, and deploy clinical AI models and algorithms to analyze medical data and improve patient outcomes
• Collaborate with cross-functional teams, including clinicians, data scientists, and software engineers, to integrate AI solutions into clinical workflows
• Conduct literature reviews and stay up-to-date with the latest advancements in clinical AI research and development
• Develop and maintain technical documentation of AI models and algorithms, including data sources, methodology, and performance metrics
• Present findings and results to stakeholders, including clinicians, hospital administrators, and external partners
• Ensure compliance with regulatory requirements, including HIPAA and FDA regulations

Requirements

• Bachelor’s degree in Computer Science, Biomedical Engineering, or a related field; Master’s or Ph.D. preferred
• Minimum 2-5 years of experience in developing and deploying AI and machine learning solutions in a healthcare setting
• Strong programming skills in languages such as Python, R, or Java, and experience with deep learning frameworks such as TensorFlow or PyTorch
• Experience working with electronic health records (EHRs) and large datasets, including claims data, clinical notes, and medical imaging
• Knowledge of clinical data standards, including ICD-10, SNOMED-CT, and LOINC
• Excellent communication and collaboration skills, with the ability to work effectively with clinicians, data scientists, and software engineers
• Certifications such as Certified Data Scientist (CDS) or Certified Health Data Analyst (CHDA) are a plus