Biohub

Computational Biologist II, CellxState

San Francisco, CA (Hybrid) · Mid

Sponsorship not specified$153k-$210kDetected 46 days ago

PythonCRISPRMicroscopy

About the role

Our science is fully open-source and published in journals like Science, Nature Methods, and Cell ( https://biohub.org/leonetti/publications/ ).
At the core of our current efforts is multiDPS (Multimodal Dynamic Pooled Screening), a high-throughput platform that integrates custom microscopy, automation, CRISPR screening and molecular profiling to map and predict dynamic cell states.
This is a great opportunity for candidates with a strong interest in data science, engineering, and cell biology, supported by experts in a highly collaborative and well-funded scientific environment.

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.
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.
Provides a generous employer match on employee 401(k) contributions to support planning for the future.
Relocation support for employees who need assistance moving

At least 4 years of experience in Python-based image analysis or scientific computing.
Experience with fluorescence microscopy, confocal, or lightsheet is a plus.

The San Francisco, CA base pay range for a new hire in this role is $153,000 - $210,100.
New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time.
Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.
Better Together
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment.

Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.
Benefits for the Whole You
To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

Through our multi-dimensional imaging program, we build imaging tools that capture life across scales - from single proteins to whole organisms - revealing how proteins and cells function, communicate, and assemble into living systems.
These observations are laying the groundwork for a new generation of AI models that can predict cellular behavior and guide the development of better treatments for widespread diseases.
You can learn more about our work here.
Our work brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine.
Pursue large scientific challenges that cannot be pursued in conventional environments
Enable individual investigators to pursue their riskiest and most innovative ideas
Facilitate research by scientists and clinicians at our home institutions and beyond
We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.
We are seeking a Computational Biologist to help lead image analysis for our next-generation Optical Pooled Screening program.

This listing is sourced directly from Biohub's careers page and normalized into a canonical job model.