Image Data Scientist

Local W/2 Onsite only! No Sub-Contracting ! These two need require YOU to be ON SITE in South San Francisco M-F 8 hours a day! No exceptions. NO remote NO Hybrid. No relocation assistance offered ! 

2 Image Data Scientist needed for

Our direct Northern California Bay area client, has an immediate need for an ONSITE Image Data Scientist for a contract position within our Digital Pathology team. This role involves 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. Strong interpersonal and communication skills, as well as a passion for interdisciplinary collaboration, are essential.

Essential 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.
Strong communication skills for cross-disciplinary collaboration.
Enthusiasm for working closely with and supporting team members.

Desirable Skills:
Experience in developing algorithms for digital pathology whole slide image analysis
Experience with commercial digital pathology software (e.g., HALO)
Experience in biomedical microscopy and/or image analysis
Skills in R, MATLAB, and statistical analysis
Proficiency with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
Experience with Amazon EC2 cloud computing

Education:
BS, MS, or PhD-level scientist.