Scientist III, Computational Pathology
Spectraforce TechnologiesSan Francisco, CA, United States3 days ago
Job type
- Full-time
Job descriptionMSc, PhD, or equivalent degree in biological sciences / computational biology / engineering / computer science / informatics Fluency in Python and R Experience in implementing and utilizing open-source scripts and pipelines for high-plex image analysis Experience in quantitative digital pathology analysis platforms such as Halo, Visiopharm, QuPath Close familiarity with tissue microscopic anatomy and histology (normal and diseased) is a plus Excellent verbal communication skills are required including the demonstrated ability to effectively and clearly summarize results for presentation and report generation Strong motivation, attention to detail, ability to think independently and fully integrate into a high achieving team environment Ability to multi-task and manage multiple projects
Job Title : Scientist III, Computational Pathology
Duration : 1 year
Location : Can be Hybrid or remote in South San Francisco, CA
Purpose :
The Precision Medicine Pathology team drives the scientific strategy for translational tissue-based biomarker development & discovery target validation / MOA projects, leads pathology collaborative programs, conducts histopathological evaluation & analysis of IHC & spatial biology technologies, and provides technical / scientific leadership to histotechnicians & pathology scientists.
The successful candidate will have advanced knowledge and experience analyzing spatial transcriptomics and proteomics data generated on the CosMx SMI and PhenoCycler Fusion platforms.
Responsibilities :
- Implementation of different scripts and pipelines for spatial transcriptomics data analysis and analysis of high-plex PhenoCycler Fusion (CODEX) images.
- Independently performing end-to-end high-plex image analysis (tissue classification, cell segmentation, detection of marker positivity, cell phenotyping, unsupervised clustering, neighborhood analysis, proximity analysis).
- Acting as a subject matter resource and training other team members in spatial analysis tasks.
- Collaborating with pathologists and digital pathology scientists to support spatial biology projects.
- Presenting the results and findings from spatial biology studies to stakeholders.
Qualifications :
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