Machine Learning Jobs in Anaheim, CA

The role involves building AI-enabled solutions, developing data pipelines, and collaborating with teams to enhance Oncology R&D workflows.

Responsible for designing and developing AI solutions for Oncology R&D, collaborating with scientists to translate complex questions into actionable insights, and contributing technical expertise in rapidly prototyping AI applications.

Lead the Oncology AI product strategy and roadmap, manage AI engineering teams, and drive stakeholder engagement for impactful AI solutions in R&D.

Lead computational-immunology analyses to identify therapeutic pathways using high-dimensional omics data. Deliver hands-on data analysis, visualization, and interpretation to support discovery projects, collaborate with cross-functional discovery teams, and influence program strategy through technical execution and novel method piloting.

The role supports AI governance and compliance activities, coordinates risk assessments, provides compliance documentation, and ensures alignment with regulations.

Lead the development of machine learning and bioinformatics for NGS products, collaborating cross-functionally to analyze complex datasets, and mentor junior members.