Senior Bioimage Informatics Scientist: Image ML & Cells

The Chan Zuckerberg Biohub, Inc.; San Francisco (CA); On-site; USD 108,000 - 171,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) match

Generous parental leave

Job summary

The Chan Zuckerberg Biohub, Inc. in San Francisco is seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to lead quantitative insights from millions of fluorescence microscopy images.

This role blends biology, machine learning, and data science in a collaborative setting. You will design image-processing pipelines, develop deep learning models, and work with biology experts to quantify cellular responses to perturbations.

Qualifications

• PhD in Computational Biology or related field.
• At least 3 years of image processing and scientific Python programming.
• Experience with biological imaging and cell biology.
• Enthusiasm for open-source software and systems biology.
• Familiarity with software development best practices (docs, version control, CI/CD).
• Strong collaboration and communication abilities.

Responsibilities

• Design pipelines for image processing of biological microscopy data
• Conceive novel deep learning-based algorithms to obtain new insights from our unique image datasets
• Partner with biology experts to identify and quantify cellular responses in response to perturbations
• Explain technical concepts to a multi-disciplinary team of biologists, bioengineers, and data scientists at the Biohub
• Author publications & mentor junior colleagues

Skills

PhD required

Python & ML

Biological imaging

Open-source software

Collaborative

CI/CD

Strong communication

Education

PhD in Computational Biology / Bioinformatics / Biophysics

Tools

NumPy

SciPy

scikit-image

TensorFlow

PyTorch

Job description

The Chan Zuckerberg Biohub, Inc. in San Francisco is seeking a Bioimage Informatics Scientist - Image Analysis & Machine Learning to lead quantitative insights from millions of fluorescence microscopy images.

This role blends biology, machine learning, and data science in a collaborative setting. You will design image-processing pipelines, develop deep learning models, and work with biology experts to quantify cellular responses to perturbations.