Qiao Liu

Research Assistant Opening at Yale Biostatistics The Liu Lab at Yale University is recruiting a full-time Research Assistant to work onsite at the intersection of genomic foundation models , causal inference , and regulatory genomics . The project focuses on developing trustworthy causal AI methods to understand how genetic variation and molecular regulation contribute to complex phenotypes and disease. This opportunity is especially well suited for candidates planning to pursue a Ph.D. in AI , statistics , biostatistics , computational biology , or related fields and who want intensive research experience before applying. Eligibility highlights: applicants should have or soon receive a Bachelor’s or Master’s degree in computer science, statistics, biostatistics, computational biology, or a related field; strong Python and deep learning programming skills are expected; and candidates should be highly motivated to conduct research and publish high-quality work. What the role offers: close research mentorship, access to Yale’s large-scale GPU computing infrastructure, and collaboration opportunities across biostatistics, genetics, computational biology, and medicine. How to apply: send a CV to [email protected] and review the full position description at the linked opening page.