The company is seeking to advance diagnostic processes and patient care through the application of computational techniques in pathology.
Requirements
- Demonstrated proficiency in Python and its scientific computing ecosystem, including libraries like NumPy, Pandas, Scikit-learn and OpenCV.
- Proficiency with version control systems, particularly Git, and experience with collaborative platforms like GitHub or GitLab.
- Solid experience in both classical and modern image analysis techniques.
Responsibilities
- Contributing to the development and application of image-processing methods and pipelines using both conventional techniques and advanced techniques, such as machine learning and deep learning.
- Proficient with commercially available image analysis software and able to perform basic statistical analyses and data visualizations.
- Contributing to the development and implementation of new AI-powered image analysis algorithms.
- Programming expertise, particularly in Python.
- Collaborating with pathologists to design and execute image analysis workflows tailored to biological questions.
- Working with computational and data scientists across various departments.
Other
- MS, or PhD-level scientist.
- Minimum years of 2 years of experience.
