Data Scientist, Imaging x AI/ML

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. 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 advance our understanding of human health.

The Team

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health—advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact for the public good.

This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.

The Opportunity

We are seeking a highly motivated and skilled Data Scientist to join our team in developing AI/ML powered 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 AI/ML, image processing, and a passion for advancing scientific discovery through computational innovation. Applicants with expertise in computational science, applied mathematics, or physics, combined with experience in state-of-the-art ML approaches, are strongly encouraged to apply. We value critical thinking, problem-solving ability, and clear communication in our vibrant, collaborative environment

What You'll Do

• Design and implement AI/ML powered algorithms for 3D volumetric image correction, registration and reconstruction followed by segmentation, and analysis in cryogenic FIB-SEM and AFM.
• Develop robust, scalable software packages and pipelines for processing 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

• A Ph.D. in Computer Science, Applied Mathematics, Physics, or a related field.
• Strong background in AI/ML and image processing.
• Proficiency in programming languages in Python or C++.
• Experience with scientific computing libraries and frameworks (e.g., PyTorch, NumPy, SciPy, scikit-image).
• Strong analytical, problem-solving, and communication skills.
• Knowledge of high-performance computing environments and GPU acceleration.
• Track record of scientific publications or open-source contributions in relevant fields.

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