Member of Technical Staff

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 to work with a global leader in the Biotechnology Research industry, contributing to breakthroughs in medical diagnostics and treatment optimization. The position combines cutting-edge AI research with real-world clinical impact, enabling the translation of academic findings into scalable healthcare solutions.