Director of BioMachine Learning for Precision Oncology

UC San Diego

San Diego (CA)

On-site

USD 180,000 - 300,000

Full time

14 days+

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Job summary

UC San Diego's Ideker Laboratory is seeking a Director of BioMachine Learning (BioML) to lead AI/ML efforts for the ADAPT-funded Dynamic Digital Tumors for Precision Oncology program in San Diego, CA. This senior role shapes predictive models and interpretable AI for precision oncology.

The candidate will oversee multiple research projects, mentor researchers, and collaborate with bioinformatics, cancer biology, and systems biology teams to advance personalized therapies for metastatic cancers.

Qualifications

Advanced degree in Computer Science, Statistics, Mathematics, or a related discipline.
3+ years of relevant work experience.
Expertise in bioinformatics, machine learning, systems biology, and modern cancer biology.
Strong project leadership and collaboration skills.

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.