AIML Research Scientist, Inverse Problems & Machine Learning

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

The Chan Zuckerberg Institute for Advanced Biological Imaging (CZ Imaging Institute) is building the next generation of imaging technologies to transform our understanding of biology in health and disease. Over the next decade we aim to create breakthrough systems spanning hardware software probes and computational tools that will empower scientists worldwide.

As part of the Chan Zuckerberg Initiatives Imaging Program the CZ Imaging Institute ( combines engineering computation and biology to tackle grand challenges in biological imaging. Our work is shared broadly with the global scientific community through open science direct collaborations and partnerships.

The Opportunity

The CZ Imaging Institute will create breakthrough technologies hardware software biological probes data and platforms that will be made available to the scientific community and adopted worldwide through a combination of direct access to the institute open sharing of advances and commercial partnerships. Researchers will collaboratively develop breakthrough biological imaging systems centered around grand challenges that push the boundaries of what we can see and measure.

We are seeking a creative and motivated Data Scientist to develop and apply cutting-edge computational methods for complex imaging problems. This role is ideal for candidates with expertise in applied mathematics computational science or physics combined with modern machine learning approaches. You will design algorithms build scalable tools and collaborate across disciplines to advance scientific discovery.

This position is on-site in Redwood City CA.

What Youll Do

• Develop and apply algorithms for solving inverse problems in imaging and related computational challenges.
• Use optimization applied mathematics and physics-inspired modeling to extract insights from high-dimensional data.
• Incorporate modern machine learning and deep learning techniques to improve reconstruction denoising and feature detection.
• Build robust scalable pipelines for large-scale biological datasets.
• Collaborate with biologists microscopists and engineers to design solutions aligned with scientific goals.
• Contribute to technical documentation publications and presentations.

What Youll Bring

Compensation

The Redwood City CA base pay range for a new hire in this role is $169000.00 - $232100.00. 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 were excited to strengthen in-person connections and cultivate a collaborative team-oriented environment. This role is an onsite position requiring you to be onsite for approximately 4 days a week with specific in-office days determined by the teams manager. The exact schedule will be at the hiring managers discretion and communicated during the interview process.

Benefits for the Whole You

Were 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.

If youre interested in a role but your previous experience doesnt 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-Onsite

Key Skills

Laboratory Experience,Machine Learning,Python,AI,Bioinformatics,C / C++,R,Biochemistry,Research Experience,Natural Language Processing,Deep Learning,Molecular Biology

Employment Type : Full Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 169000 - 232100