We are looking for curious, ambitious post-doctoral fellows and students who are interested in working at the intersection of computer science, developmental & cancer biology, and single-cell genomics. Projects involve development of analysis approaches and novel methods to derive mechanistic insights about development and disease progression using high throughput data generated across a number of model systems.
We are actively looking for post-doctoral fellows to join us. An ideal candidate will have a background in machine learning, data science, statistics, computational biology, bioinformatics and/or genomics. If interested, please contact email@example.com with your CV, and summary of research interests and goals.
We are looking for exceptional PhD students and welcome students from both quantitative and experimental backgrounds. Projects will be tailored to fit the interests of the student and range from analysis of large-scale data to computational method development. We also welcome students interested in being co-advised with other computational or experimental principal investigators. Interest in single-cell and spatial data is the only prerequisite for grad students to join our lab!
We accept students from the Molecular & Cellular Biology Program and Medical Scientist Training Programs. We also accept students from the M3D programs. Please contact firstname.lastname@example.org to learn about the rotation projects.
We welcome Masters students and undergraduate students with programming experience and interested in exploring the world of single-cell genomics. Please contact email@example.com to learn more. We offer internships and research projects for academic credit.