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MsdAssociate Scientist, Post Doc Fellow- Computational Pathology & Spatial AI
USA - Massachusetts - Cambridge (320 Bent Street)hybridprincipal$82K – $92K
Posted today · via Workday
About this role
Job Description Postdoctoral Research Fellow, Computational Pathology and Spatial AI Within DAGS, our AI/ML team develops biologically grounded and interpretable machine learning methods to accelerate biomarker discovery across oncology. We are seeking a highly motivated Postdoctoral Research Fellow to develop next-generation multimodal AI approaches that integrate histopathology, transcriptomics, and spatial biology to characterize tumor microenvironment architecture and generate novel biological insights from routine H&E pathology images. What You'll Do: Advance AI/ML methods that connect pathology images with molecular and spatial biology data. Develop interpretable computational approaches to study tissue organization, tumor microenvironment biology, and disease-relevant patterns.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, spring, transformers, teams
2
Level fit
This role is principal-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in USA - Massachusetts - Cambridge (320 Bent Street). We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonspringtransformersteams
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