Member of Technical Staff - Medical Research (Remote)

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📍 United Arab EmiratesFull-timeRemote
📅 Posted: 5d ago🔄 Updated: 5d ago
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✨ AI Summary
This full-time, remote role for a Member of Technical Staff in Medical Research involves designing and implementing computational methods for medical data analysis, developing algorithms for diagnostic and therapeutic applications, and contributing to research publications. Key responsibilities include developing machine learning models for medical imaging and clinical decision support, collaborating with cross-functional teams, publishing findings, optimizing algorithms, and contributing to research workflows.
Required Skills
Information Technology
Scikit-learn
Other
JuliaRMONAImedical imaging dataSimpleITK
Science & Research
Statistical Modeling
Requirements
Requires a 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 is essential. Proficiency in programming languages like Python, R, or Julia, and experience with medical data processing libraries and medical imaging data are necessary.
Description
Role: Member of Technical Staff - Medical Research (Remote)Location: Remote (Work from Anywhere)JobType: Full-TimePayout: $350K - $500K/yrRole 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.Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now!
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00