AIML Research Scientist, Inverse Problems & Machine Learning
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Job Location:
Redwood City, CA - USA
Monthly Salary:
$ 169000 - 232100
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
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
- M.S. or Ph.D. in Applied Mathematics Computer Science Physics Engineering or a related field.
- 1 - 5 years of relevant experience.
- Strong foundation in inverse problems optimization or computational modeling.
- Experience in machine learning and deep learning (e.g. PyTorch TensorFlow).
- Proficiency in Python or C and familiarity with scientific computing libraries.
- Strong analytical problem-solving and communication skills.
- Experience with imaging data (e.g. cryo-EM tomography or related modalities).
- Familiarity with convex optimization variational methods or numerical PDEs.
- Knowledge of GPU computing and high-performance environments.
- Track record of scientific publications or open-source contributions.
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.
- 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 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
