UC San Diego Health · 3 months ago
Director of Bio Machine Learning - 136085
San Diego, CA
Full-time
Onsite
Director/Executive
$119K/yr - $175K/yr
9+ years expUC San Diego Health is seeking a Director of Bio Machine Learning to lead R&D efforts for the ADAPT project, a precision cancer therapy initiative funded by ARPA-H. The role involves overseeing AI/ML research projects and collaborating with various experts to develop personalized cancer treatment strategies using advanced AI/ML technologies.
Health Care
Responsibilities
Lead the design and implementation of deep learning approaches for drug recommendation in cancer
Lead interdisciplinary teams by 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 and fuse complex, multimodal datasets, including genomic, transcriptomic and proteomic data from various sources 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 clinical 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
Provide mentorship and guidance to junior researchers, including PhD students and postdocs, fostering expertise in bioML and its applications in oncology
Prepare detailed reports, publications, and presentations showcasing progress on ADAPT program goals, and represent the lab at national and international conferences
Collaborate closely with the Ideker Lab’s Program Director to identify and pursue new funding opportunities, align lab objectives with emerging trends in precision medicine, and contribute to grant proposals to support long-term research initiatives
In addition to the main ADAPT initiative, we expect that this position will work on and potentially lead other projects within the Ideker Lab research portfolio as needed
Qualification
Required
Nine years of related experience, education/training OR Bachelor's degree in related area and/or equivalent experience / training. Bachelor's, Master's or PhD in Computer Science, Mathematics, Statistics, or related discipline strongly preferred
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
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
In depth skills and experience in independently resolving complex computing / data / CI problems using introductory and / or intermediate principles
Self-motivated and works independently and as part of a team
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
In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills
In depth experience assessing a broad spectrum of technical and research needs and demands and establish priorities, delegate and / or lead development of solutions to meet such needs
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
Preferred
Knowledge of modern cancer biology, omics, and systems biology
Demonstrated ability to initiate research proposals and acquire funding
Company
UC San Diego Health
UC San Diego Health is the only academic health system in the San Diego region.
10001+ employees
H1B Sponsorship
UC San Diego Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (308)
2024 (261)
2023 (232)
2022 (223)
2021 (131)
2020 (105)
Funding
Current Stage
Late StageTotal Funding
$0.2MKey Investors
The Beryl InstituteThe Conrad Prebys Foundation
2025-10-31Grant
2023-06-26Grant· $0.2M
Leadership Team
Christian Dameff
Medical Director of Cybersecurity
Sandip Patel
Professor
Recent News
2025-11-08
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