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Scientist 3, In Vivo Translational ImagingRoche · South San Francisco
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Roche

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Scientist 3, In Vivo Translational Imaging

🗓️ Posted 2026-10-12 South San Francisco Full-time Hybrid Science Technology
💰 Salary Not shared 📊 Market 10,000 CHF–15,000 CHF/mo

About the Company

Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people's lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare - a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world's largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI). For more information, please visit https://careers.roche.com Read our community guidelines here: https://www.roche.com/some-guidelines.htm Roche Biotechnology Pharmaceuticals Diagnostics Healthcare PersonalisedHealthcare GreatPlaceToWork Innovation Biotechnology Research Specialties: biotechnology, innovation, personalized healthcare, great place to work, diagnostics, pharmaceuticals, research, healthcare, personalised healthcare, diabetes care, genomics, healthcare technology, big data, Science

About the Role

In the Department of Translational Imaging, you will drive preclinical and translational imaging research to help deliver life-changing healthcare solutions. You will work within a highly collaborative, multidisciplinary environment, moving seamlessly between in vivo experimentation, scanner operations (preclinical MRI/PET), quantitative analysis, and modern AI-enabled computational workflows to translate imaging data into therapeutic discoveries.

Responsibilities

  • ● Design, execute, and optimize in vivo preclinical imaging studies following approved ethical, compliance, and institutional safety standards.
  • ● Operate and refine preclinical MRI protocols, applying quantitative methods to characterize anatomy, microstructure, physiology, and therapeutic treatment 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

  • ● You 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.
  • ● You bring practical hands-on experience or demonstrated comfort conducting in vivo model procedures within institutionally regulated research environments.
  • ● You possess strong working knowledge of MRI physics and image formation, including pulse sequences, contrast mechanisms, signal-to-noise optimization, and artifact mitigation.
  • ● You have demonstrated expertise analyzing 3D/4D quantitative imaging data using Python (or equivalent scientific programming) within Linux and version-controlled (Git) environments.
  • ● You have practical fluency leveraging AI-assisted computational tools, LLM prompting, or coding agents to accelerate research and development workflows.
  • ● Hands-on experience with preclinical PET or SPECT acquisition, reconstruction, biodistribution analysis, and quantitative multimodal data integration.
  • ● Solid understanding of computer vision, image processing, and machine learning/deep learning methods for biomedical image segmentation, registration, and automated quality control.
  • ● Proven experience working on High-Performance Computing (HPC) clusters with workload managers (such as Slurm), containerization technologies (Docker, Apptainer/Singularity), and GPU acceleration.
  • ● Proficiency in additional scientific programming languages and platforms (e.g., MATLAB, R, C/C++, ITK, 3D Slicer, or equivalent biomedical toolkits).
  • ● Background in drug discovery, translational medicine, or oncology/neuroscience biomarker development, with a track record of bridging imaging metrics to pharmacological mechanism of action.
  • ● Demonstrable scientific curiosity, agility, and comfort navigating seamlessly between hands-on scanner/bench work and dry-lab computational modeling.
  • ● Please note this is a lab-based role at our South San Francisco, CA campus. Onsite presence is required.
  • ● Relocation benefits are available for this job posting.
  • ● The expected salary range for this position based on the primary location of South San Francisco, CA is 103,400 to 192,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

  • ● 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 .