Data Scientist, CryoSEM Blockface

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative.

The Team

Biohub is a 501c3 biomedical research organization building the first large-scale initiative to combine frontier AI and frontier biology to solve disease. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to study how cells operate and organize as systems—ultimately understanding why disease happens and how to cure or prevent it.

Through our multi-dimensional Imaging program, we build imaging tools that capture life across scales — from single proteins to whole organisms — revealing how 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. 

Our Vision

• 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. Join us.

The Opportunity

We are seeking a highly motivated and skilled Data Scientist to join our team in developing cutting-edge algorithms and software tools for improving and analyzing images acquired using newly developed, state-of-the-art cryogenic block face focused ion beam scanning electron microscopy (cryoFIB-SEM) coupled with atomic force microscopy (AFM) and other readout modalities. 

This role is ideal for candidates with a strong background in image processing, and a passion for advancing scientific discovery through computational innovation. Expertise in artificial intelligence (AI) and machine learning (ML) is strongly preferred and will play a key role in driving novel solutions in data analysis and interpretation. We value critical thinking, problem-solving ability, and clear communication in our vibrant, collaborative environment.

What You'll Do

• Design, implement, and optimize novel algorithms for 3D volumetric image correction, registration and reconstruction followed by segmentation, and analysis in multi-modality cryogenic FIB-SEM and AFM image stacks.
• Design and implement precise, automated data collection schemes to enable high-throughput FIB-SEM and AFM data acquisition.
• Develop robust, scalable software packages and pipelines for automatic processing and reconstruction of large-scale imaging datasets.
• Apply and adapt AI/ML techniques, including deep learning, to automate feature detection, denoising, classification, and other tasks.
• Collaborate closely with biologists, microscopists, and software engineers to understand research goals and tailor computational solutions.
• Prepare technical documentation, user guides, and contribute to scientific publications and presentations.

What You'll Bring

• Ph.D. or equivalent experience in Computer Science, Material Science, Physics, Bioinformatics, or a related field.
• 2+ years of experience in image processing, especially for 3D or volumetric data.
• Proficient in programming languages such as Python and C++.
• Experience with scientific computing libraries and frameworks (e.g., NumPy, SciPy, scikit-image).
• Strong analytical, problem-solving, and communication skills.

Compensation

The Redwood City, CA  base pay range for a new hire in this role is $153,000.00 - $210,100.00. 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. 

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid