* Role: Member of Technical Staff - Medical Research (Remote) * Location: Remote (Work from Anywhere) Role Overview: We are hiring for one of our clients, seeking a Member of Technical Staff, Medical Research to work on a full-time basis. The role involves designing and implementing computational methods to analyze medical data, developing algorithms for diagnostic and therapeutic applications, and contributing to peer-reviewed research publications in high-impact journals. Key Responsibilities: * Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support. * Collaborate with cross-functional teams including clinicians, data scientists, and software engineers to translate research into scalable solutions. * Publish findings in academic journals and present results at conferences to advance the state of medical research. * Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets.



* Contribute to the development of internal tools and frameworks that accelerate medical research workflows. Required Skills & Qualifications: * PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications. * Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data. * Proficiency in programming languages such as Python, R, or Julia, with experience in medical data processing libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Experience with medical imaging data (e.g., MRI, CT, X-ray) and relevant toolkits (e.g., ITK, SimpleITK, MONAI). * Strong publication record in peer-reviewed medical or AI research journals. * Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance (e.g., HIPAA, GDPR). * Ability to work in a fast-paced research environment with iterative development cycles. More About the Opportunity: This role offers a unique opportunity

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