Associate Computational Biologist, Balla Group (BHN - SF) at Chan Zuckerberg Biohub

San Francisco, California, United States

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Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Biotechnology, ResearchIndustries

Requirements

Bachelor’s degree in physics, engineering, computer science, or life science
Prior research experience (internship experience is considered)
2+ years of coding experience (e.g. Python, MATLAB, or C++)
Exposure to working with microscopes (preferably custom-built)
Excellent verbal and written communication skills
Team player who can also work independently
Prior experience developing pipelines
Experience imaging in model systems (zebrafish is a plus)
Experience using slurm, working within HPC environments
Deep learning and use of existing image segmentation tools such as Celery

Responsibilities

Work with scientists and engineers from diverse backgrounds to develop and apply pipelines for very large (10s of TBs) zebrafish immune system imaging datasets
Acquire data by performing live-imaging experiments with zebrafish on state-of-the-art custom-built microscopes
Use existing image reconstruction, analysis, and visualization pipelines to facilitate biological interpretation
Troubleshoot and improve upon existing analysis methods
Maintain systematic records of experiments and outcomes
Discuss work at weekly group meetings, internal seminars, and external seminars
Participate in publishing the work through software repositories, data repositories, and peer-reviewed papers
Collaborate with team members to develop and implement new analysis pipelines and tools
Troubleshoot and resolve technical issues related to imaging and data analysis
Stay up-to-date with the latest developments in computational biology and image analysis

Skills

Computational Biology

Image Analysis

Pipeline Development

Microscopy

Problem-Solving

Teamwork

Communication

Chan Zuckerberg Biohub

Nonprofit research center for disease understanding

About Chan Zuckerberg Biohub

The Chan Zuckerberg Biohub focuses on biomedical research and technology development. It collaborates with top universities to study the basic mechanisms of diseases and create new diagnostic tools and therapies. The Biohub combines the expertise of engineers, data scientists, and researchers to tackle complex health challenges. Unlike many research institutions, it emphasizes a collaborative approach, pooling resources and knowledge from multiple prestigious universities. The goal of the Chan Zuckerberg Biohub is to advance scientific understanding and improve health outcomes through innovative research.

San Francisco, CaliforniaHeadquarters

2016Year Founded

VENTURE_UNKNOWNCompany Stage

Data & Analytics, BiotechnologyIndustries

51-200Employees

Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Company Match

Family Planning Benefits

Fertility Treatment Support

Childcare Support

Unlimited Paid Time Off

Paid Vacation

Risks

Expansion may strain resources and management capabilities.

Potential ethical concerns with AI model reliance.

Collaboration with multiple universities could lead to intellectual property disputes.

Differentiation

CZ Biohub unites top universities for collaborative biomedical research.

Focus on AI-driven models for disease detection and treatment.

Pioneering cellular endoscopes for early disease monitoring and intervention.

Upsides

Expansion into New York enhances collaboration with leading institutions.

AI initiatives align with growing trends in drug discovery and precision medicine.

Genomic training initiatives support underrepresented medical students.

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