Senior Scientist, Computational Biology (Multimodal Data Integration

About the Role

A healthier future drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Roche’s Computational Sciences Center of Excellence (CoE) is a strategic, unified group harnessing data and AI to assist scientists in delivering more innovative medicines worldwide. The sub‑department of Oncology in Computational Biology and Medicine at Genentech (Genentech, a member of the Roche group) is seeking a visionary Senior Scientist to join a newly forming team focused on Multimodal Data Integration.

This role will focus on modeling high‑dimensional data at the critical interface of disease biology and translational medicine and on the vertical integration of diverse disease‑specific large datasets.

• Vertical Integration
  :
  Lead the integration of multimodal datasets—including high‑throughput transcriptomics, epigenomics, drug‑response, and clinical data (e.g., ctDNA, imaging)—to enable multi‑state modeling and patient sub‑typing.
• Bridge Pre‑clinical & Clinical
  :
  Develop methods to associate pre‑clinical model profiles (cell lines, organoids) with clinical segments to validate biomarkers and therapeutic targets.
• Method Development
  :
  Design and deploy computational workflows and frameworks leveraging statistical, computational biology, and advanced machine learning methods to enable insight generation from high‑dimensional profiling techniques.
• Interpretability & Insight
  :
  Focus on “interpretable AI,” developing models that go beyond prediction to explain the underlying biology and mechanisms of action/resistance.
• Collaborative Leadership
  :
  Co‑create and lead technical roadmaps for complex experimental questions, acting as a creative bridge between experimental oncology and machine learning groups.
• Strategic Impact
  :
  Provide vision to transition from simple data processing to sophisticated biomarker development and mechanism‑driven discovery.

• Educational Background
  :
  Ph.D. in Computational Biology, Systems Biology, Bioinformatics, or a related field with 0–2 years of significant postdoctoral or industry experience.
• Multimodal Expertise
  :
  Proven track record in integrating data from multiple modalities (e.g., NGS, single‑cell, proteomics, perturbational and clinical data) using advanced statistical modeling or systems biology.
• Machine Learning & Modeling
  :
  Deep understanding of recent ML methods with a specific emphasis on model interpretability.
• Technical Proficiency
  :
  Expert‑level fluency in R and Python; experience building scalable computational workflows for large‑scale data integration is required; familiarity with AI‑supported and agentic coding tools.
• Biological Depth
  :
  Strong foundation in cancer biology and oncogenic signaling; proficiency in communicating intricate biological principles is essential.
• Visionary & Creative
  :
  Ability to navigate ambiguity and partner with stakeholders to turn creative research ideas into impactful, innovative computational strategies.
• Communicator
  :
  Excellent skills in data visualization and the ability to present complex multimodal findings to diverse audiences (from ML scientists to clinical physicians).
• Onsite presence at the South San Francisco campus is expected for at least 3 days a week.

The expected salary range for this position based on the primary location of California is $130,800 – $242,800. 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. Relocation benefits are not available for this posting. Benefits are detailed on a linked page.

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.

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