# Computational Biologist II, CellxState at Evolutionary Scale

- Company: Evolutionary Scale
- What the company does: ESM3. Enabling scientists to understand, imagine, and create proteins. Backed by Lux.
- Company website: https://evolutionaryscale.ai
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco, CA (Hybrid)
- Work setup: Hybrid
- Pay: $153K to $210K base salary per year (USD)
- Posted: 2026-03-12
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/biohub/jobs/7712408
- Page: https://www.1752.vc/careers/jobs/evolutionary-scale-computational-biologist-ii-cellxstate/

## About the role

Part of the Imaging Grand Challenge, The CELLxSTATE Program builds next-generation technologies to decode and control how cells make decisions — combining live-cell imaging, multi-omics, and AI at unprecedented scale. We also create large reference datasets that can be mined and reused by the entire community for discovery, like our OpenCell project that maps protein localization and interactions ( https://opencell.czbiohub.org/ ).

## What they're looking for

- Design, develop, and maintain scalable image analysis pipelines for large-scale fluorescent microscopy datasets, with an emphasis on image quality robustness and computational efficiency
- Integrate emerging multi-modal data types (e.g., spatial transcriptomics) into unified, AI-ready datasets that support downstream modeling and discovery
- Advance our bio-image analysis capabilities (e.g., segmentation, tracking, image-stitching, and image registration)
- Partner closely with biologists and automation engineers to implement end-to-end quality control metrics, ensuring the fidelity of our experimental and computational pipelines
- Architect modular and reusable processing frameworks that can flexibly support multiple experiment types within a shared infrastructure
- Publish and disseminate impactful findings through preprints, papers, and software repositories (e.g., GitHub)

Tags: R&D