Hong Lab – Junior or Assistant Specialist Full-time

Hong Lab – Junior or Assistant Specialist

The Hong lab focuses on combining clinical domain knowledge with data science to generate insights from real world data, develop actionable computational and artificial intelligence tools, and evaluate the benefit of these advances for personalized cancer care. We have a specific interest and expertise in artificial intelligence machine learning, natural language processing (including large language models), computational data extraction, and imaging analytics. We apply these methods to identify new knowledge regarding clinical practice and patient outcomes, make actionable predictions, and identify new interventions. Our lab works from end-to-end along the development and implementation pipeline to develop tools for clinicians to make a meaningful difference in patient care.

This research specialist will perform informatics research to develop computational tools and analyses related to personalized oncology care. Specialist responsibilities include data management, implementation and programming of computational tools including machine learning/deep learning algorithms, and collaboration with other members of the lab and affiliated groups. They will support administrative tasks on the team and work closely with other lab members, participate in lab meetings, and perform other duties as assigned. They will be expected to conduct data analyses and prepare for presentations at lab meeting and journal club. The specialist will join a multidisciplinary team of clinicians and scientists in the Department of Radiation Oncology, Helen Diller Family Comprehensive Cancer Center, and the Bakar Computational Health Sciences Institute.

Required qualifications: • Junior Specialist – Baccalaureate degree (or equivalent degree) or at least four years of research experience. • Assistant Specialist – Master's degree or a baccalaureate degree with 3 or more years of research experience.

Salary range for this position is $55,000-$70,700.