Principal Scientist
- San Francisco, CA
- Permanent
- Full-time
Within Precision Medicine, the Computational Biology group in the Center for Technology and Innovation (CfTI) is seeking a highly motivated Principal Scientist to apply advanced computational methods in support of clinical biomarker development, patient stratification, and translational research with a primary focus in Oncology.This role is a high-visibility, individual contributor position, working in a matrixed environment across translational sciences, data science, and clinical development. The successful candidate will bring expertise in bioinformatics, clinical trial data, and modern computational biology approaches to help advance Company’s pipeline and Precision Medicine initiatives.Responsibilities:
- Support the development of clinical biomarkers supporting Company programs through the formulation and execution of biomarker data analysis
- Perform assessment of biochemical coverage, patient stratification, indication selection in Company’s early and late clinical development programs and discovery of clinical insights at asset and portfolio levels through the application of knowledge discovery and data mining techniques
- Conduct exploratory analysis of clinical trial biomarker/omics data, public/consortium data, and other relevant datasets to uncover Client insights and support clinical programs.
- Develop translational informatics analysis workflows in a high-content, multi-omics, multi-modal data domain encompassing genomics, transcriptomics, proteomics, metabolomics and epigenomics domains
- Collaborate with oncology biologists and cross-functional partners (DTI, assay labs, biomarker scientists, diagnostics teams) to ensure computational analyses are aligned with biological and clinical goals.
- Champion and exemplify the application of knowledge graphs and modern AI/ML (including generative and transfer learning techniques and task specialization of foundational models) to enable understanding and prediction of clinical endpoints or adverse events (e.g., ocular toxicity).
- Represent CfTI in some program/portfolio teams as a biomarker analysis lead.
- Participate in diagnostics assay and vendor evaluation and selection by providing inputs from computational perspective
- Interface cross-functionally with the early development teams, assay laboratories, in-vitro diagnostics, and biomarker representatives
- Partner with the Reverse Translation Computational Biology lead to support cross-program initiatives.
- Computational Biology Expertise – Ability to integrate and analyze complex multi-omics datasets (genomics, transcriptomics, proteomics, etc.) to drive biomarker discovery and patient stratification.
- AI/ML Innovation – Proven skill in applying advanced AI/ML methods in translational and clinical research to generate predictive insights and accelerate biomarker innovation.
- Collaboration & Communication – Strong ability to work cross-functionally with scientists, clinicians, and partners, while clearly communicating complex analyses to diverse stakeholders.
- Technical depth, data-driven innovation, and collaborative leadership are essential to advancing Company’s precision medicine initiatives.
- Must have Oncology experience as this will be supporting an Oncology team
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