Image Data Scientist

Dawar Consulting
South San Francisco, CA

Our client, a world leader in diagnostics
and life sciences, is looking for an "Image Data Scientist” based out of South San Francisco, CA .

Job Duration: Long Term Contract (Possibility Of
Further Extension)

Company Benefits: Medical, Dental,
Vision, Paid Sick leave, 401K

Job Description:

The Translational Safety, Pathology team
provides pre-clinical pathology assessments of risk. Within this group, the
Digital Pathology team focuses on revolutionizing the analysis of digital
histopathology slides by leveraging computational methods to enhance
pathological evaluations traditionally performed solely by humans. Our
objective is to integrate cutting-edge digital and computational techniques
into pathology workflows and develop computational tools to support
pathologist-driven identification and interpretation of findings. 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. The successful candidate should be proficient with
commercially available image analysis software and able to perform basic
statistical analyses and data visualizations. Ideally, the candidate will also
contribute to the development and implementation of new AI-powered image
analysis algorithms and should have programming expertise, particularly in
Python. The role requires close collaboration with pathologists to design and
execute image analysis workflows tailored to biological questions, as well as
working with computational and data scientists across various departments.

Skills:

  • Background and experience in computer sciences
    with a strong interest in biomedical sciences.
  • Proficient programming skills in Python,
    including standard packages for image segmentation and statistical analysis.
  • Comfort with iterative design processes and
    openness to frequent feedback.

If interested, please send us your updated
resume at

[email protected] [email protected]

Posted 2025-11-25

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