Image Analyst - Machine Learning

About This Role

The Image Analyst will develop and apply machine learning and deep learning algorithms to analyze 2D and 3D electron microscopy (EM) datasets, aiding discovery in various disease settings. This role involves researching ML/DL approaches to recognize features from large-volume EM images and adapting existing image processing workflows.

Responsibilities

• Create solutions to visualize and quantify features of interest from 2D and 3D electron microscopy (EM) datasets
• Apply machine learning and deep learning (ML/DL) algorithms for image classification and segmentation
• Research and develop ML/DL approaches to recognize features from large-volume, high-resolution EM images of cells and tissues
• Adapt and apply existing image processing workflows to EM data to deliver visual and quantitative results to collaborators
• Handle large image data and track project metadata robustly
• Create clear documentation and resilient workflows that can work on local workstations and NIH clusters

Requirements

• Bachelor’s degree in computer science, vision science, or a closely related field (or four years relevant experience)
• 2+ years of professional experience in machine learning and image analysis
• Fluent in Python
• Ease with libraries for neural network applications (PyTorch) and computer vision
• Ability to obtain and maintain a security clearance

Qualifications

• Bachelor’s degree in computer science, vision science, or a closely related field from an accredited college/university
• Minimum of two (2) years of professional experience in machine learning and image analysis

Nice to Have

• Demonstrated experience with image processing applications
• Record of open-source solutions on Github
• Demonstrated experience in machine learning approaches and latest image processing techniques
• Experience with application development using high-level languages
• Experience with high-performance computing environment

Skills

* Required skills

Benefits