Data Scientist II, Deep Learning, Image Analysis

. Design and implement ML/DL pipelines for microscopy image analysis .

Posted 9/25/2026full-timeSeattle • Washington • United StatesJunior💰 $112,950 - $139,750 per yearWebsite

Tools & technologies

NumpyPythonPyTorchTensorflow

Key responsibilities & impact

Design and implement ML/DL pipelines for microscopy image analysis
Preprocess and clean large-scale microscopy datasets
Develop, optimize, and fine-tune classical and deep learning models for segmentation, feature extraction, and classification
Integrate and scale image analysis protocols into high-throughput computational pipelines
Participate in code reviews and contribute to efficient, maintainable, well-documented codebases
Maintain reproducible analysis records, version-controlled code, documented parameters, and traceable results
Coordinate with experimental scientists on data collection and study design
Track developments in machine learning and image analysis and evaluate promising methods
Work with large-scale microscopy datasets on dedicated HPC computing infrastructure
Collaborate with multidisciplinary computational and experimental research teams

What you’ll need

Bachelor's degree in computer science, engineering, physics, data science, computational biology, or a related quantitative field
1+ year of relevant experience
Demonstrated experience developing ML/DL models for segmentation, classification, or feature extraction
Proficiency in Python, including scientific and data manipulation libraries such as NumPy and scikit-image
Working experience with a deep learning framework such as PyTorch or TensorFlow
Adherence to SOPs, GLPs and regulatory requirements
No work visa sponsorship available
No relocation assistance available

Comp & perks