Scientist

Title: Translational Research Scientist - II (Associate)

Location: South San Francisco, CA

Duration: 2 years

Job Description:

• 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.
• 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.

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.

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.