Senior Director of Bio Machine Learning (BioML)

UC San Diego; San Diego (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading research university in San Diego is seeking a Director of BioMachine Learning to lead machine learning research for a new precision cancer therapy project. The ideal candidate will have an advanced degree in a relevant field, expertise in bioinformatics and machine learning, and strong project leadership skills. This position offers the opportunity to collaborate with interdisciplinary teams to advance innovative cancer treatment strategies.

Qualifications

• 3+ years of relevant work experience.
• 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.
• Collaborate with interdisciplinary teams to advance precision oncology strategies.
• Provide technical leadership and mentorship to project teams and researchers.

Skills

Bioinformatics

Machine Learning

Systems Biology

Project Leadership

Education

Advanced degree in Computer Science, Statistics, Mathematics, or related discipline

Job description

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

• 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.

Employment type

• Full-time

Location

• San Diego, CA