Director of Bio Machine Learning (BioML)

Overview

The Ideker Laboratory at UC San Diego is recruiting a Director of BioMachine Learning (BioML) to lead machine learning research and development for the "Dynamic Digital Tumors for Precision Oncology" project, a new precision cancer therapy initiative funded by the ARPA-H ADAPT Program. The project aims to use advanced AI / ML technologies to deliver the right therapy to the right patients at the right time, applying predictive biomarkers and interpretable AI / ML to create dynamical cancer treatment strategies and personalized therapies for patients with metastatic cancers. This role will oversee AI / ML research projects and objectives toward the successful completion of the ADAPT program goals.

Responsibilities and qualifications are described below.

Responsibilities

• Lead machine learning research and development for the Dynamic Digital Tumors for Precision Oncology project.
• Oversee AI / ML research projects and objectives to achieve ADAPT program goals.
• Apply expertise in bioinformatics, systems biology, and cancer biology to develop predictive models and interpretable AI / ML tools.
• Collaborate with interdisciplinary teams to advance precision oncology strategies and personalized therapies for metastatic cancers.
• Provide technical leadership and mentorship to project teams and researchers.

Qualifications

Employment type

Location

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