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About the Role
Drive preclinical and translational imaging research within a collaborative, multidisciplinary environment to deliver life-changing healthcare solutions. Work involves in vivo experimentation, scanner operations, quantitative analysis, and AI-enabled computational workflows.
Responsibilities
- Design, execute, and optimize in vivo preclinical imaging studies following ethical, compliance, and safety standards.
- Operate and refine preclinical MRI protocols, applying quantitative methods to characterize anatomy, microstructure, physiology, and therapeutic responses.
- Support multimodal imaging studies by integrating data across nuclear imaging (PET/SPECT) and biodistribution workflows.
- Develop and maintain robust, reproducible image-processing pipelines for registration, segmentation, quantitative feature extraction, and longitudinal analysis.
- Build scalable, reproducible analysis code primarily in Python, executing workflows across High-Performance Computing (HPC) clusters utilizing containers and GPU acceleration.
- Apply AI tools, prompting techniques, and coding agents to accelerate scientific discovery, streamline analysis prototyping, and enhance code documentation.
- Partner cross-functionally with biologists, pharmacologists, computational biologists, and research leaders to translate multimodal imaging endpoints into actionable scientific decisions.
Requirements
- Hold an advanced degree (Ph.D. or equivalent combined education and experience) in Biomedical Engineering, Biophysics, Physics, Imaging Science, Computer Science, or a related quantitative discipline.
- Possess practical hands-on experience or demonstrated comfort conducting in vivo model procedures within institutionally regulated research environments.
- Strong working knowledge of MRI physics and image formation, including pulse sequences, contrast mechanisms, signal-to-noise optimization, and artifact mitigation.
- Demonstrated expertise analyzing 3D/4D quantitative imaging data using Python (or equivalent scientific programming) within Linux and version-controlled (Git) environments.
- Practical fluency leveraging AI-assisted computational tools, LLM prompting, or coding agents to accelerate research and development workflows.
Skills
- Python
- Linux
- Git
- AI tools
- LLM prompting
- Coding agents
- High-Performance Computing (HPC)
- Containerization technologies
- GPU acceleration
- Computer vision
- Image processing
- Machine learning
- Deep learning
- MATLAB
- R
- C/C++
- ITK
- 3D Slicer
Location
- South San Francisco, CA
Work Type
- Onsite
Experience Level
- Advanced degree (Ph.D. or equivalent)
- Hands-on experience
- Demonstrated expertise
- Practical fluency
- Proven experience
- Track record
Education Level
- Ph.D. or equivalent combined education and experience
- Advanced degree
Salary/Compensations
- $103,400 to $192,000
- Discretionary annual bonus may be available
Benefits
- Relocation benefits are available
- Detailed benefits available at the provided link
About the Company
- Genentech is an equal opportunity employer.
Equal Opportunity
- Genentech is an equal opportunity employer.
- It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence.
- The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
- If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.