R&D Engineer, Droplet Handling and Automation (Biohub Chicago) at Chan Zuckerberg Biohub

Chicago, Illinois, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Biomedical ResearchIndustries

Requirements

MS in Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or a related field
Minimum 2 years of experience in micro/nanosystem design and automation
Minimum 2 years of experience in automated liquid sampling and handling
A collaborative mindset and strong communication skills
Experience in designing, prototyping, and automating microsystems for high-precision liquid collection, transfer, and analysis
Experience in microfluidics or robotics techniques, particularly for small-volume biofluid transfers (0.05 - 2 µL)

Responsibilities

Design, prototype, and implement systems for biofluid droplet collection, transfer, and downstream analysis
Develop automation and control workflows for precision liquid handling at micro- to nanoliter scales
Collaborate with Biohub teams to scale and integrate engineering platforms for spatiotemporal biological analysis
Disseminate research findings via publications, preprints (e.g., bioRxiv, medRxiv), and open-source repositories (e.g., GitHub)
Uphold the Biohub’s values of open science, teamwork, and scholarly excellence

Skills

Key technologies and capabilities for this role

roboticsmicrofluidicsautomation engineeringmechatronicsmicrosystems designprototypingliquid handlingdroplet handling

Questions & Answers

Common questions about this position

What experience is required for the R&D Engineer role?

The ideal candidate will have experience in designing, prototyping, and automating microsystems for high-precision liquid collection, transfer, and analysis, as well as microfluidics or robotics techniques for small-volume biofluid transfers (0.05 - 2 µL).

What are the core values at CZ Biohub Chicago?

The Biohub is guided by values of scholarly excellence, disruptive innovation, hands-on engineering/hacking/building, partnership and collaboration, open communication and respect, inclusiveness, and opportunity for all.

What does a typical day look like for this R&D Engineer position?

You'll design, prototype, and implement systems for biofluid droplet collection, transfer, and downstream analysis; develop automation and control workflows for precision liquid handling at micro- to nanoliter scales; and collaborate with Biohub teams.

Is this position remote or based in Chicago?

This information is not specified in the job description.

What makes a strong candidate for this R&D Engineer role?

Exceptional engineers with backgrounds in robotics, microfluidics, automation engineering, or mechatronics, particularly those focused on automated droplet handling systems for biofluids from 3D tissue models, who can contribute hands-on in interdisciplinary teams.

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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