Member of Technical Staff - Medical Research (Remote)

About the role

We are seeking a Member of Technical Staff to join a leading biotechnology research organization. The position is fully remote and focuses on designing and implementing computational methods that advance medical diagnostics and therapeutic decision‑making.

Key responsibilities

• Design, develop, and validate machine‑learning models for medical imaging analysis and clinical decision support.
• Collaborate with clinicians, data scientists, and software engineers to translate research into scalable solutions.
• Publish research findings in high‑impact journals and present at scientific conferences.
• Optimize algorithms for performance, accuracy, and efficiency on large‑scale medical datasets.
• Contribute to internal tools and frameworks that accelerate research workflows.

Required profile

• 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.
• 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).

Required skills

• Python, R, Julia
• TensorFlow, PyTorch, scikit‑learn
• ITK, SimpleITK, MONAI
• Machine learning, deep learning, statistical modeling
• DICOM, HL7

What we offer

• Opportunity to work with a global leader in biotechnology research.
• Competitive compensation ranging from $350K to $500K per year.
• Impactful work that bridges cutting‑edge AI research with real‑world clinical applications.