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 advanced computational methods for medical data analysis, with the goal of translating research into real‑world diagnostic and therapeutic solutions.

Key responsibilities

• Design, develop, and validate machine‑learning models for medical imaging and clinical decision support.
• Collaborate with clinicians, data scientists, and software engineers to turn research prototypes into scalable tools.
• Publish research findings in high‑impact journals and present at scientific conferences.
• Optimize algorithms for accuracy, performance, and efficiency on large medical datasets.
• Contribute to internal frameworks and tools 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 journals.
• Familiarity with healthcare data standards (e.g., DICOM, HL7) and regulatory compliance such as HIPAA or GDPR.

Required skills

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

What we offer

• Competitive total compensation ranging from $350K to $500K per year.
• Opportunity to work on cutting‑edge AI research with direct clinical impact.
• Collaborative environment with leading experts in biotechnology and medicine.