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Yale University – Full-Time Research Assistant
Company NameYale University
Position TitleFull-Time Research Assistant
Company Information
The Liu Lab in the Department of Biostatistics at Yale University develops statistically principled, AI-powered methods for large and complex biomedical data. Our work connects genetic variation, molecular regulation, perturbation response, and disease phenotypes to advance mechanistic understanding and causal discovery. The lab offers a collaborative environment spanning AI, statistics, genomics, and public health, with access to Yale's large-scale GPU computing resources.
Duties and Responsibilities
Work closely with Dr. Qiao Liu and interdisciplinary collaborators on projects at the intersection of generative AI, causal inference, and regulatory genomics. Responsibilities include preprocessing and analyzing genomic and biomedical datasets; implementing and evaluating machine-learning and statistical methods; running computational experiments on Yale HPC/GPU systems; maintaining clear, reproducible code and documentation; summarizing relevant literature and results; and contributing to figures, presentations, and manuscripts. The RA will receive mentorship and opportunities to develop skills in AI, causal inference, and computational genomics.
Position Qualifications
Bachelor's or master's degree in computer science, statistics, biostatistics, computational biology, bioinformatics, data science, or a related field. Strong Python programming skills are expected. Experience with PyTorch or TensorFlow and Linux/HPC environments is preferred. Research experience in machine learning, generative modeling, causal inference, or computational genomics is an advantage. We value intellectual curiosity, careful and independent work, strong communication and teamwork, and enthusiasm for interdisciplinary biomedical research.
Salary Range45,600 per year
Benefits
See benefit from Yale official website: https://postdocs.yale.edu/postgrads/being-a-postgrad-at-yale/postgraduate-compensation
Position or Company Websiteliuq-lab.com
Application Instructions
We prefer an RA candiate, who is expected to join Liu lab very soon.
Please send a CV and a brief statement describing relevant experience and research interests to Dr. Qiao Liu at the contact email listed below.