Translational Research Scientist

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Job description

Currently we have an opening for a Translational Research Scientist located in South San Francisco, CA. Details for the position are as follows:

Pay Range: $60-$88/hour

Job Description:

2-year contract with the possibility of extending or converting to permanent based on performance and budget.

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

Qualifications:

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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