Image Data Scientist

Dawar Consulting•South San Francisco, CA

5h•Onsite

About The Position

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. This role will partner closely with pathologists and cross-functional scientists to develop and apply image processing, machine learning, and deep learning approaches to pathology data.

Requirements

MS/PhD in Data Science, Computer Vision, Bioinformatics, Computational Biology, or related field with 5+ years of experience.
Strong Python programming skills including NumPy, 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, TensorFlow, or Keras.
Experience working in HPC environments / SLURM.
Proficiency with Git/GitHub/GitLab version control.

Nice To Haves

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.

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 OpenSlide 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.