The Ideker Laboratory at UC San Diego School of Medicine is seeking a Senior Bio Machine Learning Scientist to lead AI/ML R&D for the ADAPT project, a precision cancer therapy initiative. The goal is to use advanced AI/ML to deliver the right therapy to the right patients at the right time by developing predictive biomarkers and interpretable AI/ML for dynamic cancer treatment strategies and personalized therapies for patients with metastatic cancers.
Requirements
- Advanced knowledge of HPC / data science / CI.
- Highly advanced skills, and demonstrated experience associated with one or more of the following: HPC hardware and software power and performance analysis and research, design, modification, implementation and deployment of HPC or data science or CI applications and tools of large-scale scope.
- In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles.
- Advanced experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC, data science infrastructure and tools / software, and diverse domain science application base.
- Demonstrated advanced experience in one or more of the following: optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI.
- Advanced knowledge of deep learning model architectures and modern AI/ML technologies.
- Knowledge of modern cancer biology, omics, and systems biology.
Responsibilities
- Lead the design and implementation of deep learning approaches for drug recommendation in cancer.
- Serve as a computational lead in interdisciplinary teams, collaborating with biologists, oncologists, statisticians, and other computational/ML scientists to translate computational findings into therapeutic strategies.
- Design, debug, and optimize algorithms and computational techniques to analyze complex, multimodal datasets, including genomic, proteomic, and transcriptomic, and clinical data.
- Develop multi-modal data fusion pipelines for biomarker discovery and therapy recommendation.
- Create and validate computational tools to track tumor changes and adapt therapy plans in real-time using insights from biomarker data.
- Create and oversee a central benchmarking platform for standardizing AI/ML models.
- Contribute to the creation and maintenance of a central cancer treatment and analysis platform, ensuring accurate and timely data availability for clinicians and researchers.
Other
- Nine years of related experience, education/training, OR an Bachelor’s degree in related area plus five years of related experience/training.
- Demonstrated ability to regularly, effectively communicate with unit-level management.
- Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
- Self-motivated and works independently and as part of a team.
- In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.
