Biohub→
AI/ML Research Scientist, Inverse Problems &… at Biohub · Redwood…
Entry LevelOn-siteFull-timeRedwood City, CA$169k–$232k/yr
Skills
inverse problemsmachine learningdeep learningpythonc++optimizationcomputational modelingimaging dataanalytical skillsscientific publicationsopen-source contributionsgpu computinghigh-performance environmentsconvex optimizationvariational methodsnumerical pdesproblem-solving skillscommunication skills
Job Description
Summary: Biohub is leading the new era of AI-powered biology to cure or prevent disease through its medical research organization, supported by the Chan Zuckerberg Initiative. They are seeking a creative and motivated Data Scientist to develop and apply cutting-edge computational methods for complex imaging problems, focusing on algorithms and collaboration across disciplines.
Responsibilities:
- 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
Required Qualifications:
- 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
Required Skills: Inverse problems, Machine learning, Deep learning, Python
Important Skills: C++, Optimization, Computational modeling, Imaging data
Nice-to-Have Skills: Analytical skills, Scientific publications, Open-source contributions, GPU computing, High-performance environments, Convex optimization, Variational methods, Numerical PDEs, Problem-solving skills, Communication skills
Benefits: 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
Benefits
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