Senior Scientist, Computational Biology (Multimodal Data Integration)

The Opportunity

You will 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 subtyping.

You will develop methods to associate pre-clinical model profiles (cell lines, organoids) with clinical segments to validate biomarkers and therapeutic targets.

You will 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.

Your focus will be on "interpretable AI" - developing models that go beyond prediction to explain the underlying biology and mechanisms of action/resistance.

You will sit next to the biologists, co-create and lead technical roadmaps for complex experimental questions, acting as a creative bridge between experimental oncology and machine learning groups.

You will provide the vision to transition from simple data processing to sophisticated biomarker development and mechanism-driven discovery.

Who You Are

• 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 for facilitating productive collaborations and strategic alignment with experimental research leadership.
• 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

Onsite presence, on our South San Francisco campus, is expected for at least 3 days a week.

Benefits

This position also qualifies for the benefits detailed at the link provided below.