The Anatomic Pathology group within the Profiling & Expression department is seeking a motivated, experienced scientist with experience in digital image analysis on digital pathology images to support discovery and translational research in our pathology group in South San Francisco.
The Successful Candidate will :
Perform image preprocessing tasks according to established SOPs, including metadata extraction, output quality control, and secure data transfer to cloud storage.
Assist in evaluating and implementing new algorithms to enhance the image analysis pipeline, such as cell segmentation improvements, tissue classification, and cell phenotyping.
Assist with the transfer of data and image-related information for analysis, facilitating smooth collaboration between teams.
Coordinating with IT to
Gather and document feedback from users on image analysis workflows and tools.
Address user pain points, define requirements, and improve tool functionality.
Lead user experience testing, working with IT to implement improvements and optimize tools for production use
Maintain and update image analysis computers to ensure they remain optimized for routine tasks
Define and document requirements for new tools and ensure their successful deployment.
Provide administrative support for multiplex IHC related work, including reagent ordering, capital equipment purchasing, document and maintain SOPs for image processing and analysis workflows.
Interact smoothly with scientists, computer scientists, and informatics / IT staff, both internally and externally
Quals
Required Experience and Skills :
B.S with minimum 5+ years'; Masters with 3+ years'; PHD with 1-2 years' of relevant work experience in industry or academia
Experience using digital image analysis software and spatial imaging platforms such as HALO, Visiopharm, QuPath, digital slide scanning, multiplex spectral imaging, Akoya Polaris, Phenocycler / Fusion.
Strong organizational abilities and communication skills
Preferred Experience and Skills :
Programming skills with application in imaging (e.g. Python, MATLAB) data
Experience with immunohistochemistry and multiplexed immunofluorescence assay development
Experience with version control environments, such as Git
Experience with high-performance Linux cluster and cloud computing
Familiarity with client servers and cloud computing infrastructure
Comfort with histology / microanatomy
Background in oncology and / or immunology
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