The successful candidate will contribute to computational studies of chronic respiratory diseases, particularly chronic obstructive pulmonary disease (COPD) and related pulmonary phenotypes, by integrating genetic, genomic, transcriptomic, proteomic, imaging, and clinical data from large, deeply phenotyped cohorts. Candidates should have a master’s degree in bioinformatics, computational biology, genomics, computational genomics, biomedical informatics, biostatistics, data science, or a closely related quantitative field, with experience in the computational analysis of large-scale biological or biomedical datasets.