Associate Scientist II, Computational Pathology

Role Summary

Associate Scientist II, Computational Pathology

Responsibilities

• Hypothesize, analyze, visualize & interpret complex large multi-dimensional data.
• Curate data to train & validate pathology machine learning models.
• Architect, develop & maintain digital pathology infrastructure.
• Manage, quality check, organize digital pathology data.
• Optimize, automate & document workflows to improve efficiency.
• Provide guidance & training to fellow colleagues.

Qualifications

• Education & Experience: Must have a Bachelor's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Industrial Engineering, Bioinformatics, Mathematics, Physics, or a related field, & 1 year programming in Python, Matlab &/or R.
• 1 year in each of the following:
  • visualizing large multi-dimensional data using seaborn & matplotlib;
  • using JPM or PRISM statistical software to perform statistical analysis on large datasets;
  • using Python (including scipy, scikit-learn), MATLAB, or R to perform statistical analysis on large datasets;
  • building machine learning models including ensemble models & kernel-based models;
• Utilizing dimensionality reduction techniques including PCA, LDA, SVD & self-organizing maps; &
• Applying all of the above to pathology images & associated metadata.
• 6 months of experience in:
  • using digital pathology tools: Visiopharm, Halo, QuPath or Napari; &
  • utilizing AWS s3 buckets & automating using script integration.

Skills

• Programming: Python, MATLAB, R; statistical analysis; machine learning; data visualization

Education

• Bachelor's degree in a related field as listed above

Additional Requirements

• Hybrid (onsite 3 days a week/ 2 days WFH)