Research Assistant 2

Research Assistant 2

Requirements

• Master’s degree in engineering or computer science
• Coding in Python
• Experience with medical imaging models
• Strong foundation in deep learning
• 2-4 years experience in a similar field
• Strong analytic and communication skills
• Experience working with large-scale datasets

Responsibilities

• Identify, apply for, and download medical imaging datasets aligned with research objectives
• Securely transfer sensitive medical data to the lab and manage data-related tasks, including enforcing storage policies, monitoring, and backups
• Perform advanced temporal preprocessing of 3D brain MRI data, including brain extraction, rigid registration to a common template, longitudinal registration, co-registration of sequences, denoising, B1 and N4 non-uniformity correction, and intensity scaling
• Adapt and apply advanced segmentation tools for research purposes
• Develop, deploy, and maintain software pipelines and tools for medical image analysis, including unified pipelines for accessing, processing, and optimizing patient datasets
• Enhance research tools with cloud functionality and visualization capabilities
• Maximize the use of hardware resources, including local hardware, cloud platforms (VMs, Cloud Buckets) and compute clusters (SLURM)
• Reproduce existing deep learning research projects and assist in onboarding new students
• Establish baseline deep learning models for ongoing research projects and assist with model validation
• Create basic documentation and tutorials to support lab operations and research initiatives
• Provide general administrative support, including scheduling, email monitoring, website updates, lab organization, and conference registration
• Assist with basic Linux system administration tasks, such as OS updates and network configuration

Preferred Qualifications

No preferred qualifications provided.