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1000 Genentech

Computational Scientist 3, Spatial Omics & Computational Pathology

South San Franciscoonsitemid$129K – $240K

Posted today · via Workday

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About this role

The Opportunity The Research Pathology Department, an integral part of Genentech’s Research and Early Development Organization (gRED), is dedicated to ensuring that strategies for the treatment of diseases are grounded in accurate analyses of pathogenetic mechanisms. Building upon a strong foundation in digital pathology, the department is at the forefront of advancing spatial omics capabilities, integrating cutting-edge, tissue-based technologies with computational methods to enable high-resolution spatial profiling of biological systems. DPIA-SO (Digital Pathology Image Analysis-Spatial Omics) is a specialized team within Research Pathology focused on collaborative spatial omics computational analysis.…

Read the full description on 1000 Genentech's site →

What we'd score you on

reqspace match rubric

Five 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, pytorch, tensorflow, jax, modal

2

Level fit

This role is mid-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 South San Francisco. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonpytorchtensorflowjaxmodal

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