UC San Diego
Director of Bio Machine Learning - 136085
UC San Diego, San Diego, California, United States, 92189
Director of Bio Machine Learning (BioML)
Location: La Jolla, 9500 Gilman Drive, San Diego, CA 92093, United States
The Ideker Laboratory at UCSD is recruiting a Director of Bio Machine Learning (BioML) to lead R&D efforts for the ADAPT project, a new precision cancer therapy initiative funded by ARPA‑H. The ADAPT project aims to use advanced AI/ML technologies to deliver the right therapy to the right patients at the right time, revolutionizing cancer treatment through predictive biomarkers and interpretable AI/ML for personalized therapies for metastatic cancers.
As Director, you will oversee AI/ML research projects and objectives toward the successful completion of the ARPA‑H ADAPT program goals, providing direction and support to the team. The role requires expertise in computer science, bioinformatics, AI/deep learning, systems biology, modern cancer biology, and project leadership.
Key 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 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, expect to work on and potentially lead other projects within the Ideker Lab research portfolio as needed.
About the Ideker Laboratory
The Ideker Laboratory is in the Division of Human Genetics and Precision Medicine at UC San Diego School of Medicine. Our 30‑40 member team, including staff, postdocs, graduate students, and undergraduates, conducts bioinformatics research and wet‑lab investigations in network biology, data‑driven hierarchical modeling, and machine learning applied to biomedicine. We support multiple open‑source software projects with over 100,000 users and aim to create mechanistic AI models of cancer to translate patient data into precision diagnosis and treatment.
Additional Information
Applies advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development involving in‑depth evaluation of variable factors impacting medium to large projects of broad scope and complexity.
Minimum Qualifications
9 years of related experience, education/training OR a bachelor’s degree in a related area and/or equivalent experience/training. Bachelor’s, master’s, or PhD in Computer Science, Mathematics, Statistics, or a related discipline strongly preferred.
Advanced knowledge of HPC/data science/CI.
Highly advanced skills and demonstrated experience with HPC hardware and software performance analysis, design, modification, implementation, and deployment of large‑scale HPC or data science or CI applications and tools.
Demonstrated ability to communicate regularly and effectively with unit‑level management.
Ability to communicate technical information to technical and non‑technical personnel at various levels 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 HPC, data science infrastructure and tools/software, and diverse domain science applications.
Ability to successfully work and/or lead multiple concurrent projects; demonstrated research and technology project leadership and management skills.
Ability to assess a broad spectrum of technical and research needs, establish priorities, delegate, and lead development of solutions.
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 Qualifications
Knowledge of modern cancer biology, omics, and systems biology.
Demonstrated ability to initiate research proposals and acquire funding.
Special Conditions
Employment is subject to a criminal background check.
Pay Transparency Act Annual full pay range: $119,400 – $230,800 (will be prorated if the appointment percentage is less than 100%). Hourly equivalent: $57.18 – $110.54.
Factors determining compensation include experience, skills, knowledge, abilities, education, licensure/certifications, and other business and organizational needs. The hiring pay scale referenced is the budgeted salary or hourly range that the University reasonably expects to pay for this position.
Equal Employment Opportunity Statement The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. For the University of California’s Anti‑Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination.
Additional Employment Information The University of California’s anti‑discrimination policy and the UC San Diego Principles of Community underscore the institution’s commitment to a diverse, inclusive, and supportive environment. UC San Diego is a smoke‑free, marijuana‑free environment and requires drug screening for employees.
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The Ideker Laboratory at UCSD is recruiting a Director of Bio Machine Learning (BioML) to lead R&D efforts for the ADAPT project, a new precision cancer therapy initiative funded by ARPA‑H. The ADAPT project aims to use advanced AI/ML technologies to deliver the right therapy to the right patients at the right time, revolutionizing cancer treatment through predictive biomarkers and interpretable AI/ML for personalized therapies for metastatic cancers.
As Director, you will oversee AI/ML research projects and objectives toward the successful completion of the ARPA‑H ADAPT program goals, providing direction and support to the team. The role requires expertise in computer science, bioinformatics, AI/deep learning, systems biology, modern cancer biology, and project leadership.
Key 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 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, expect to work on and potentially lead other projects within the Ideker Lab research portfolio as needed.
About the Ideker Laboratory
The Ideker Laboratory is in the Division of Human Genetics and Precision Medicine at UC San Diego School of Medicine. Our 30‑40 member team, including staff, postdocs, graduate students, and undergraduates, conducts bioinformatics research and wet‑lab investigations in network biology, data‑driven hierarchical modeling, and machine learning applied to biomedicine. We support multiple open‑source software projects with over 100,000 users and aim to create mechanistic AI models of cancer to translate patient data into precision diagnosis and treatment.
Additional Information
Applies advanced computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, to perform highly complex research, technology and software development involving in‑depth evaluation of variable factors impacting medium to large projects of broad scope and complexity.
Minimum Qualifications
9 years of related experience, education/training OR a bachelor’s degree in a related area and/or equivalent experience/training. Bachelor’s, master’s, or PhD in Computer Science, Mathematics, Statistics, or a related discipline strongly preferred.
Advanced knowledge of HPC/data science/CI.
Highly advanced skills and demonstrated experience with HPC hardware and software performance analysis, design, modification, implementation, and deployment of large‑scale HPC or data science or CI applications and tools.
Demonstrated ability to communicate regularly and effectively with unit‑level management.
Ability to communicate technical information to technical and non‑technical personnel at various levels 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 HPC, data science infrastructure and tools/software, and diverse domain science applications.
Ability to successfully work and/or lead multiple concurrent projects; demonstrated research and technology project leadership and management skills.
Ability to assess a broad spectrum of technical and research needs, establish priorities, delegate, and lead development of solutions.
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 Qualifications
Knowledge of modern cancer biology, omics, and systems biology.
Demonstrated ability to initiate research proposals and acquire funding.
Special Conditions
Employment is subject to a criminal background check.
Pay Transparency Act Annual full pay range: $119,400 – $230,800 (will be prorated if the appointment percentage is less than 100%). Hourly equivalent: $57.18 – $110.54.
Factors determining compensation include experience, skills, knowledge, abilities, education, licensure/certifications, and other business and organizational needs. The hiring pay scale referenced is the budgeted salary or hourly range that the University reasonably expects to pay for this position.
Equal Employment Opportunity Statement The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. For the University of California’s Anti‑Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination.
Additional Employment Information The University of California’s anti‑discrimination policy and the UC San Diego Principles of Community underscore the institution’s commitment to a diverse, inclusive, and supportive environment. UC San Diego is a smoke‑free, marijuana‑free environment and requires drug screening for employees.
#J-18808-Ljbffr