Image Data Scientist
Job in
South San Francisco, San Mateo County, California, 94083, USA
Listed on 2026-08-06
Listing for:
Doist
Full Time
position Listed on 2026-08-06
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Our client, a world leader in life sciences and biotechnology, is looking for a “Image Data Scientist” based out of South San Francisco, CA. Job Duration:
Long Term Contract (Possibility Of Extension) Company Benefits:
Medical, Dental, Vision, Paid Sick leave, 401K
The Translational Safety, Pathology – Digital Pathology team is seeking an Image Data Scientist to support the development of computational image analysis workflows for digital histopathology.
Key Responsibilities- Develop and implement image analysis pipelines for digital pathology / histopathology images using classical image processing, ML, and deep learning techniques.
- Process and analyze Whole Slide Images (WSI) using tools such as Open Slide or similar.
- Collaborate with pathologists and scientists to design image analysis workflows aligned with biological research questions.
- Perform statistical analyses, data visualization, and support development of AI-driven pathology algorithms.
- Contribute to computational tool development and workflow optimization.
- MS/PhD in Data Science, Computer Vision, Bioinformatics, Computational Biology, or related field with 5+ years of experience.
- Strong Python programming skills including Num Py, Pandas, Scikit-learn, OpenCV.
- Experience with computer vision, image processing, classification, segmentation, and digital pathology analytics.
- Hands‑on experience with Whole Slide Image (WSI) analysis.
- Expertise with deep learning frameworks such as PyTorch, Tensor Flow, or Keras.
- Experience working in HPC environments / SLURM.
- Proficiency with Git/Git Hub/Git Lab version control.
- Digital pathology platforms (HALO, Visiopharm, QuPath).
- Object detection / segmentation tools (Detectron2).
- Workflow orchestration (Dagster, Airflow).
- Cloud computing exposure (AWS EC2).
- GUI development using Tkinter or PyQt.
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