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. This remote position focuses on designing and implementing advanced computational methods that turn medical data into actionable diagnostic and therapeutic insights.

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

What we offer

• Competitive total compensation ranging from $350,000 to $500,000 per year.
• Fully remote work‑from‑anywhere arrangement.
• Opportunity to contribute to breakthrough medical diagnostics and treatments.