A global leader in the Biotechnology Research industry is hiring a Member of Technical Staff, Medical Research for a fully remote role open to candidates in the UAE, 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, with a payout range of $350K-$500K per year.
About the Opportunity — Medical AI Research at Scale
Role Title: Member of Technical Staff, Medical Research
Work Format: Fully remote, work from anywhere
Compensation: $350,000 – $500,000 per year
Core Focus: Machine learning models for medical imaging analysis and clinical decision support
Key Tools: Python, R, TensorFlow, PyTorch, ITK, SimpleITK, and MONAI
 Career Impact & High-Value Research Opportunity
Global Reach: Fully remote position open to qualified candidates across the UAE and beyond
Real-World Impact: Translate academic findings into scalable healthcare solutions
Top-Tier Compensation: Among the highest salary ranges available in remote AI research roles
Research Recognition: Publish and present findings at leading conferences and journals
Position 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, working with a global leader in the Biotechnology Research industry.
Why This Role Matters:Â As Member of Technical Staff, Medical Research, you design and validate machine learning models for medical imaging analysis and clinical decision support, work fully remote with an exceptional $350K-$500K/yr compensation range, collaborate with clinicians, data scientists, and software engineers to translate research into scalable solutions, publish findings in academic journals and present at leading research conferences, optimize algorithms for performance and accuracy on large-scale medical datasets, and contribute to breakthroughs in medical diagnostics and treatment optimization with real clinical impact.
 Key Responsibilities
Model Design & Validation
- Design, develop, and validate machine learning models for medical imaging analysis and clinical decision support
- Optimize algorithms for performance, accuracy, and computational efficiency on large-scale medical datasets
Cross-Functional Collaboration
- Collaborate with clinicians, data scientists, and software engineers to translate research into scalable solutions
- Contribute to internal tools and frameworks that accelerate medical research workflows
Research Publication & Dissemination
- Publish findings in academic journals and present results at conferences to advance medical research
Qualifications & Requirements
Educational Requirements
- PhD or equivalent experience in Computer Science, Biomedical Engineering, or a related field with a focus on medical applications
Essential Skills
- Proven expertise in machine learning, deep learning, and statistical modeling applied to medical data
- Proficiency in Python, R, or Julia, with experience in medical data processing libraries such as TensorFlow, PyTorch, and scikit-learn
- Experience with medical imaging data (MRI, CT, X-ray) and toolkits such as ITK, SimpleITK, and MONAI
- Strong publication record in peer-reviewed medical or AI research journals
- Familiarity with healthcare data standards (DICOM, HL7) and regulatory compliance (HIPAA, GDPR)
- Ability to work in a fast-paced research environment with iterative development cycles
 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, all within a fully remote structure and an exceptional $350K-$500K/yr compensation range. All qualified candidates are welcome regardless of background, experience, or prior employment history, with applications reviewed solely on demonstrated technical ability.
Career Excellence: Build a top-tier medical AI research career with a global biotechnology leader, combining cutting-edge machine learning with genuine clinical impact and industry-leading pay.
Who Should Apply?
- PhD-Level AI Researchers:Â With expertise in medical imaging and clinical machine learning
- Biomedical Engineers:Â Skilled in deep learning applied to healthcare data
- Medical Imaging Specialists:Â Experienced with DICOM, MONAI, and imaging toolkits
- Published AI Researchers:Â With a strong track record in peer-reviewed journals
- Remote-First Senior Scientists:Â Seeking top-tier compensation in a flexible research role
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