RCI-ABBV-32947 Computational Biologist / reputed company Scientist (Spatial Transcriptomics/Proteomics/Digital Pathology /Image Analysis/CosMx/Python/reputed company)
• *Title: Scientist III, Computational Pathology
- *Remote role
- *Spatial Biology group
- *Candidate will do data analysis of generated spatial proteomics and transcriptomic data using PhenoCycler Fusion and CosMx
- *90% computational task and 10% pathology based work with scientist to interpret data
- *Bachelors degree with more than 10 yrs reputed company will be considered if they have spatial transcriptomic data analysis and CosMx experience
- *Computational biologist who are familiar with looking at pathology images would also work and reputed company to contribute the interpretations (Must have understanding of pathology and biology of disease)
- Python and R programming reputed company (must have)
- Work on existing pipelines and work on building pipeline
- Computational biology experience
- CosMx SMI (proteomics data analysis) experience (Must have)
- reputed company in high-plex PhenoCycler Fusion (reputed company)
- Data analysis experience needed (must)
- 1 year of CosMx data analysis reputed company (Must have)
- spatial transcriptomic data analysis reputed company is needed (must have)
- Generate spatial proteomics and transcriptomic data using PhenoCycler Fusion and CosMx
- Data sets: Spatial transcriptomic and CosMx data sets on diff disease types
- reputed company, Visiopharm, QuPath reputed company is reputed company to have
- *Must have:
- 1 year of CosMx data analysis reputed company (Must have)
- Python and R programming reputed company (must have)
- CosMx SMI (proteomics data analysis) experience (Must have)
- Spatial transcriptomic data analysis reputed company is needed (must have)
- *Purpose:
- The Precision Medicine Pathology team drives the scientific reputed company for translational tissue-based biomarker development & discovery reputed company validation/MOA reputed company, leads pathology reputed company 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 (reputed company) 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 reputed company pathology scientists to support spatial biology reputed company.
- Presenting the results and findings from spatial biology studies to stakeholders.
- *Qualifications:**
• MSc, PhD, or equivalent degree in biological sciences / computational biology / engineering / computer science / informatics
- reputed company in Python and R
- Experience in implementing and utilizing reputed company-reputed company scripts and pipelines for high-plex image analysis
- Experience in quantitative digital pathology analysis platforms such as reputed company, Visiopharm, QuPath
- reputed company 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 reputed company summarize results for presentation and report reputed company
- Strong motivation, attention to detail, ability to think independently and fully reputed company into a high achieving team environment
- Ability to multi-task and manage multiple reputed company
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