Senior Bio Machine Learning Scientist - 136085

UC San Diego Health; San Diego (CA); On-site; USD 119,400 - 230,800; Full time

Job summary

A prominent academic health system in California seeks a Senior Bio Machine Learning Scientist to lead innovative deep learning approaches for drug recommendations in cancer care. The ideal candidate will drive projects in a collaborative environment, possess at least nine years of experience, and demonstrate expertise in HPC and AI/ML technologies. This role presents an excellent opportunity to contribute to cutting-edge cancer research and improve therapeutic strategies.

Qualifications

• Nine years of related experience or Bachelor's degree plus five years of related experience.
• Advanced knowledge of HPC/data science/CI applications and tools of large-scale scope.
• Ability to communicate with technical and non-technical audiences.

Responsibilities

• Lead the design and implementation of deep learning approaches for drug recommendation in cancer.
• Create and validate computational tools to track tumor changes in real-time.
• Collaborate with the Program Manager for funding opportunities.

Skills

Deep learning

Data analysis

Computational biology

Leadership

Communication

Education

Bachelor's degree or equivalent

Tools

High Performance Computing (HPC)

AI/ML applications

Job description

Overview

Senior Bio Machine Learning Scientist - 136085 at UC San Diego Health

Responsibilities

• Lead the design and implementation of deep learning approaches for drug recommendation in cancer.
• Serve as computational lead in interdisciplinary teams, translating computational findings into therapeutic strategies.
• Design, debug, and optimize algorithms to analyze complex, multimodal datasets (genomic, proteomic, 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 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 for clinicians and researchers.
• Provide guidance to junior researchers, including PhD students and postdocs, in bioML applications to oncology.
• Lead the development and dissemination of robust, scalable bioinformatics software aligned with FAIR data principles.
• Prepare detailed reports, publications, and presentations on ADAPT program goals; represent the lab at national and international conferences.
• Collaborate with the Ideker Lab’s Program Manager to pursue new funding opportunities and contribute to grant proposals.
• Work on and potentially lead other projects within the Ideker Lab research portfolio as needed.

Minimum Qualifications

• Nine years of related experience, or a Bachelor’s degree plus five years of related experience.
• Advanced knowledge of HPC / data science / CI.
• Experience with HPC/data science/CI applications and tools of large-scale scope.
• Ability to communicate with management and both technical and non-technical audiences.
• Ability to resolve complex computing/data/CI problems independently; self-motivated and able to work in a team.
• Experience in a complex computing environment with HPC, data science infrastructure, and diverse domain science applications.
• Demonstrated leadership in multiple concurrent projects and in identifying priorities and solutions.
• Advanced knowledge of deep learning architectures and modern AI/ML technologies.

Preferred Qualifications

• Knowledge of modern cancer biology, omics, and systems biology.
• Demonstrated ability to initiate research proposals and obtain funding.

Special Conditions

• Employment is subject to a criminal background check.

Pay Transparency Act: Annual Full Pay Range: $119,400 - $230,800; Hourly: $57.18 - $110.54. Factors in determining compensation include experience, skills, and other business needs.

Vaccination and health requirements may apply. If applicable, life-support certifications must include hands-on practice and in-person skills assessment.

Equity and Inclusion

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. UC San Diego Health is smoke and tobacco free; marijuana and drug free environment policies apply.

Applications: Applications/resumes are accepted for current job openings only. For full consideration, apply before the initial closing date. For extended deadlines, applications/resumes will be considered during the extension period; however, a position may be filled before the extended date is reached.